A structured collection of tools for engineering resilience and a research approach to improve the resilience of a power grid are described in this paper. The collection is organized by a two-dimensional array formed from typologies of power grid components and business processes. These two dimensions provide physical and operational outlooks, respectively, for a power grid. The approach for resilience research is based on building a simulation model of a power grid which (...) utilizes a resilience assessment equation to assess baseline resilience to a hazards’ profile, then iteratively selects a subset of tools from the collection, and introduces these as interventions in the power grid simulation model. Calculating the difference in resilience associated with each subset supports multicriteria decision-making to find the most convenient subset of interventions for a power grid and hazards’ profile. Resilience is an emergent quality of a power grid system, and therefore resilience research and interventions must be system-driven. This paper outlines further research required prior to the practical application of this approach. (shrink)

This book bridges the divide between the fields of power systems engineering and computer communication through the new field of power system information theory. Written by an expert with vast experience in the field, this book explores the smart grid from generation to consumption, both as it is planned today and how it will evolve tomorrow. The book focuses upon what differentiates the smart grid from the "traditional" power grid as it has been known (...) for the last century. Furthermore, the author provides the reader with a fundamental understanding of both power systems and communication networking. It shows the complexity and operational requirements of the evolving power grid, the so-called "smart grid," to the communication networking engineer; and similarly, it shows the complexity and operational requirements for communications to the power systems engineer. The book is divided into three parts. Part One discusses the basic operation of the electric power grid, covering fundamental knowledge that is assumed in Parts Two and Three. Part Two introduces communications and networking, which are critical enablers for the smart grid. It also considers how communication and networking will evolve as technology develops. This lays the foundation for Part Three, which utilizes communication within the power grid. Part Three draws heavily upon both the embedded intelligence within the power grid and current research, anticipating how and where computational intelligence will be implemented within the smart grid. Each part is divided into chapters and each chapter has a set of questions useful for exercising the readers' understanding of the material in that chapter. Key Features: Bridges the gap between power systems and communications experts Addresses the smart grid from generation to consumption, both as it is planned today and how it will likely evolve tomorrow Explores the smart grid from the perspective of traditional power systems as well as from communications Discusses power systems, communications, and machine learning that all define the smart grid It introduces the new field of power system information theory. (shrink)

The power grid is an important connection between power sources and users, responsible for supplying and distributing electric energy to users. Modern power grids are widely distributed and large in scale, and their security faces new problems and challenges. Information entropy theory is an objective weighting method that compares the information order of each evaluation index to judge the weight value. With the wide application of entropy theory in various disciplines, the subject of introducing entropy into (...) the power system has been gradually concerned. This article aims to study the smart terminal security technology of the power grid perception layer based on information entropy data mining. This article analyzes its related methods and designs a smart terminal for the power grid. On this basis, a data analysis platform is built and a safety plan is designed. The result is that the average absolute error, root mean square error, average absolute percentage error, and mean square error of the platform's power load forecast are 1.58, 1.96, 8.2%, and 3.93, respectively. These error values are within the ideal range, and the data processing ability is strong. The packet loss rate of the adversary's eavesdropping was tested, and the average packet loss rates at locations a, b, c, and d were 1.05, 1.2, 1.81, and 2.2%, respectively. Data packets will be definitely lost, so the platform is highly secure. (shrink)

With the expansion of the digital business line, the network flow behind the digital power grid is also exploding. To prevent network congestion, this article proposes a novel network flow forecasting model, which is composed of variational mode decomposition, GRU-xgboost block, and a forecasting adjustment block, to grasp the changing patterns and trends of network flow in advance, and to formulate reasonable and effective flow management strategies and meet the requirements of users for network service quality. The network (...) flow series in power grid enterprise always contain complex patterns and outliers, and VMD is applied to adaptively process complex net flow time series into several subseries with simpler patterns. A GRU-xgboost block is designed to reconstruct the features of historical series. Then, xgboost model is applied to generate predictions for all decomposed subsignals. For the final predictions, we design a forecasting adjustment block to further remove the influence of random noise. Finally, the empirical results show the superior performance of the proposed model on network flow forecasting task. (shrink)

The problem of combinatorial optimization is considered in relation to the choice of the location of the location of power supplies when solving the problem of the development of urban distribution networks of power supply. Two methods have been developed for placing power supplies and assigning consumers to them to solve this problem. The first developed method consists in placing power supplies of the same standard sizes, and the second - of different standard sizes. The fundamental (...) difference between the created methods and the existing ones is that the proposed methods take into account all the material of the problem and have specialized methods for coding possible solutions, modified operators of crossing and selection. The proposed methods effectively solve the problem of low inheritance, topological unfeasibility of the found solutions, as a result of which the execution time is significantly reduced and the accuracy of calculations is increased. In the developed methods, the lack of taking into account the restrictions on the placement of new power supplies is realized, which made it possible to solve the problem of applying the methods for a narrow range of problems. A comparative analysis of the results obtained by placing power supplies of the same standard sizes and known methods was carried out, and it was found that the developed method works faster than the known methods. It is shown that the proposed approach ensures stable convergence of the search process by an acceptable number of steps without artificial limitation of the search space and the use of additional expert information on the feasibility of possible solutions. The results obtained allow us to propose effective methods to improve the quality of decisions made on the choice of the location of power supply facilities in the design of urban electrical. (shrink)

The purpose of this article is to investigate wind turbine production, the variability of that production, and the relationship between output and system-wide demand. A review of the literature reveals that a variety of measures (and methods) to explore the variability of wind power production exist. Attention then turns to the province of Ontario (Canada), and the performances of four wind farms are examined for 2006 and 2007. Key conclusions include that the wind farms' capacity factors vary from 27.6% (...) to 35.6%, with higher values in winter as compared to summer; wind power performs better than the seasonal average during peak periods; wind is a better “partner” for the Ontario electricity system in the winter as opposed to the summer; and the increased geographic distribution of wind farms decreases their collective variability. (shrink)

The word “power” tends toward divergent formations, and this paper is prompted by the intersection of two of them. The first form taken up here is power as control, while the second form is material power as fuel. The typical modern configuration of the first form implies an understanding of the second form as subordinate. But what I argue here is that insofar as fuel is a condition of the possibility of being human, the identity of the (...) human being has always been embedded in an assemblage consisting of fuel-subject/intersubject. (shrink)

The word “power” tends toward divergent formations, and this paper is prompted by the intersection of two of them. The first form taken up here is power as control, while the second form is material power as fuel. The typical modern configuration of the first form implies an understanding of the second form as subordinate. But what I argue here is that insofar as fuel is a condition of the possibility of being human, the identity of the (...) human being has always been embedded in an assemblage consisting of fuel-subject/intersubject. (shrink)

In this article, I argue that the artificial components of hybrid bionic systems do not play a direct explanatory role, i.e., in simulative terms, in the overall context of the systems in which they are embedded in. More precisely, I claim that the internal procedures determining the output of such artificial devices, replacing biological tissues and connected to other biological tissues, cannot be used to directly explain the corresponding mechanisms of the biological component(s) they substitute (and therefore cannot be used (...) to explain the local mechanisms determining an overall biological or cognitive function replicated by such bionic models). I ground this analysis on the use of the Minimal Cognitive Grid (MCG), a novel framework proposed in Lieto (Cognitive design for artificial minds, 2021) to rank the epistemological and explanatory status of biologically and cognitively inspired artificial systems. Despite the lack of such a direct mechanistic explanation from the artificial component, however, I also argue that the hybrid bionic systems can have an indirect explanatory role similar to the one played by some AI systems built by using an overall structural design approach (but including the partial adoption of functional components). In particular, the artificial replacement of part(s) of a biological system can provide i) a local functional account of that part(s) in the context of the overall functioning of the hybrid biological–artificial system and ii) global insights about the structural mechanisms of the biological elements connected to such artificial devices. (shrink)

The current study introduces the Multi-Motive Grid Mobility in an age-stratified sample that aims to disentangle six motive components – hope of success, hope of affiliation, hope of power, fear of failure, fear of rejection, and fear of power – in mobility-related and mobility-unrelated scenarios. Similar to the classical Multi-Motive Grid, we selected 14 picture scenarios representing seven mobility and seven non-mobility situations. The scenarios were combined with 12 statements from the MMG. Both the MMG-M and (...) MMG were assessed to allow comparability between psychometric criteria. The results of confirmatory factor analyses yielded a good model fit for a six-factor solution with an additional mobility factor for the MMG-M. Internal consistency of the items was similar to the MMG. Lastly, we investigated associations between the motive components and mobility-related variables. We found that risk awareness was positively related to all fear components in both mobility and non-mobility scenarios. Most importantly, physical constraint was positively associated with fear of rejection and fear of power in mobility situations underlining the importance to create support systems to reduce these concerns in people’s everyday lives. (shrink)

A large number of modern communication technologies and sensing technologies are incorporated into the smart grid, which makes its structure unique. The centralized optimized dispatch method of traditional power grids is difficult to achieve effective dispatch of smart grids. Based on the analysis of power generation plan and maintenance plan optimization model, this paper establishes a smart grid power generation and maintenance collaborative optimization model with distributed renewable energy. The objective function of this collaborative optimization (...) problem is the operating cost of conventional units, the cost of wind power generation, and the cost of overhauling units; the constraints considered mainly include system constraints and overhaul constraints. The solution method of combinatorial optimization is analyzed, and the genetic optimization algorithm adopted in this paper is selected and discussed. According to the characteristics of the system, various loads are modeled, and power supply constraints are considered. By establishing an effective objective function, the adjustable load scheduling problem is transformed into a solvable optimal control problem. Taking into account the uncertain factors in the system, the advantage of the real-time control system is that it can realize the dynamic update scheduling of the load, so it is more in line with the requirements of the actual system. The real-time algorithm proposed in the paper is based on a distributed control strategy, which can not only realize dynamic compensation for random fluctuations in renewable energy power generation but also satisfy the load curve optimization under the premise of making full use of power supply resources. In addition, simulation experiments compare the load dispatching capabilities of the proposed algorithm with the existing algorithms, thereby verifying the performance of the proposed method. (shrink)

This document provides a vision of the communications-related aspects of the Smart Grid in the year 2030, and lays out the technology roadmap that will lead us to the vision. This document starts with some basic knowledge of the power grid and follows up with fundamental building blocks for the communication infrastructure that will accompany the Smart Grid. Subsequently, network architectures, including overlays, are discussed at length. Also discussed, are important issues such as standards, regulations, security, (...) and disruptive technologies. The last part of this document discusses emerging technologies such as the solid state transformer, wireless beamed power, and quantum key distribution. Throughout the document, a careful distinction is made between communications capabilities and the specific technologies that are required to support those capabilities. (shrink)

IEEE Vision for Smart Grid Communications: 2030 and Beyond Reference Model, directly overlays events in the power grid with communication performance on the same spacetime model, it ensures a perspective that verifies that any of the myriad of communication technologies chosen will provide the required support for the Smart Grid. For Corporate or Institutional Access, request a custom quote for your organization at www.ieee.org/smartgridresearch.

The Renaissance architect, moral philosopher, cryptographer, mathematician, Papal adviser, painter, city planner and land surveyor Leon Battista Alberti provided the theoretical foundations of modern perspective geometry. Alberti’s work on perspective exerted a powerful influence on painters of the stature of Albrecht Dürer, Leonardo da Vinci and Piero della Francesca. But his Della pittura of 1435–36 contains also a hitherto unrecognized ontology of pictorial projection. We sketch this ontology, and show how it can be generalized to apply to representative devices in (...) general, including maps and spatial and non-spatial databases. (shrink)

This IEEE Vision for Smart Grid Communications: 2030 and Beyond Roadmap is a high-levelsupplement of the full vision document IEEE Vision for Smart Grid Communications: 2030 andBeyond. Communication is a major enabling technology for the Smart Grid. We believe that the powergrid will tend to utilize advances in communications since the data exchange requirements willscale up for the Smart Grid. Smart Grid communication will help to improve demand forecasting,enable self-healing from power disturbance events, facilitate (...) active participation by consumers in demand-response mechanisms, and provide resilience against physical and cyber attacks. Smart Grid communication will also help to improve quality of power, allow easy integration of renewable energy sources into the grid, foster innovation to enable new products, services, and markets, assist in optimization of assets, and improve operating efficiency. (shrink)

Smart grids are rolling out internationally, with the United States nearing completion of a significant USD4-plus-billion federal program funded under the American Recovery and Reinvestment Act. The emergence of smart grids is widespread across developed countries. Multiple approaches to analyzing the benefits of smart grids have emerged. The goals of this white paper are to review these approaches and analyze examples of each to highlight their differences, advantages, and disadvantages. This work was conducted under the auspices of a joint U.S.-China (...) research effort, the Climate Change Working Group Implementation Plan, Smart Grid. We present comparative benefits assessments of smart grid demonstrations in the U.S. and China along with a BA of a pilot project in Europe. In the U.S., we assess projects at two sites: the University of California, Irvine campus, which consists of two distinct demonstrations: Southern California Edison’s Irvine Smart Grid Demonstration Project and the UCI campus itself; and the Navy Yard area in Philadelphia, which has been repurposed as a mixed commercial-industrial, and possibly residential, development. In China, we cover several smart-grid aspects of the Sino-Singapore Tianjin Eco-city and the Shenzhen Bay Technology and Ecology City. In Europe, we look at a BA of a pilot smart grid project in the Malagrotta area west of Rome, Italy, contributed by the Joint Research Centre of the European Commission. The Irvine sub-project BAs use the U.S. Department of Energy Smart Grid Computational Tool, which is built on methods developed by the Electric Power Research Institute. The TEC sub-project BAs apply Smart Grid Multi-Criteria Analysis developed by the State Grid Corporation of China based on the analytic hierarchy process with fuzzy logic. The B-TEC and TNY sub-project BAs are evaluated using new approaches developed by those project teams. JRC has adopted an approach similar to EPRI’s but tailored to the Malagrotta distribution grid. (shrink)

The area of smart power grids needs to constantly improve its efficiency and resilience, to provide high quality electrical power in a resilient grid, while managing faults and avoiding failures. Achieving this requires high component reliability, adequate maintenance, and a studied failure occurrence. Correct system operation involves those activities and novel methodologies to detect, classify, and isolate faults and failures and model and simulate processes with predictive algorithms and analytics. In this paper, we showcase the application of (...) a complex-adaptive, self-organizing modeling method, and Probabilistic Boolean Networks, as a way towards the understanding of the dynamics of smart grid devices, and to model and characterize their behavior. This work demonstrates that PBNs are equivalent to the standard Reinforcement Learning Cycle, in which the agent/model has an interaction with its environment and receives feedback from it in the form of a reward signal. Different reward structures were created to characterize preferred behavior. This information can be used to guide the PBN to avoid fault conditions and failures. (shrink)

The stability of the power grid is concernment due to the high demand and supply to smart cities, homes, factories, and so on. Different machine learning and deep learning models can be used to tackle the problem of stability prediction for the energy grid. This study elaborates on the necessity of IoT technology to make energy grid networks smart. Different prediction models, namely, logistic regression, naïve Bayes, decision tree, support vector machine, random forest, XGBoost, k-nearest neighbor, (...) and optimized artificial neural network, have been applied on openly available smart energy grid datasets to predict their stability. The present article uses metrics such as accuracy, precision, recall, f1-score, and ROC curve to compare different predictive models. Data augmentation and feature scaling have been applied to the dataset to get better results. The augmented dataset provides better results as compared with the normal dataset. This study concludes that the deep learning predictive model ANN optimized with Adam optimizer provides better results than other predictive models. The ANN model provides 97.27% accuracy, 96.79% precision, 95.67% recall, and 96.22% F1 score. (shrink)

This work presents a distributed generation system that combines system of a wind turbine and photovoltaic using a unified power quality conditioner. Along with providing active power to the utility grid, Wind-PV-UPQC improves PQ indicators, for example, voltage drops/surges, harmonics of grid voltages, and PF. Since Wind-PV-UPQC depends on dual compensation scheme, the parallel converter works as a sinusoidal voltage source, while the series converter works as a sinusoidal current source. In this way, a smooth transition (...) from grid operation to island operation and vice versa can be achieved without load voltage transitions. In addition, in order to overcome the problems through abrupt solar radiation or wind speed variations, a faster power balance is achieved between the wind turbines, the PV array, and the grid, as FFCL pursue the production of the current references of series converter. Consequently, the dynamic reactions of the converter currents and the voltage of dc bus are enhanced. A comprehensive analysis of flow of the AP through the converters is done to ensure a proper understanding of how Wind-PV-UPQC works. Finally, the simulation results are shown to estimate the dynamic and static performance of Wind-PV-UPQC in conjunction with the power distribution system. (shrink)

We describe the ethical leadership dilemmas confronting Verdant Power. Formed in 2000, this New York City marine renewable energy company develops projects and technology that delivers electricity directly into the local power grid. Set in early 2010, the case outlines the tensions, challenges and costs (both financial and time) that management faces as it attempts to commercialize a technology in an industry with strict and rigid regulatory policies. The key teaching objectives of the case include a) understanding (...) the leadership role that the company must assume in paving the way for regulatory reform for US-based marine renewable technology ventures, and b) appreciating the importance and implications of sustainability given the pursuit of the financial and environmental mission of the founders. (shrink)

We describe the ethical leadership dilemmas confronting Verdant Power. Formed in 2000, this New York City marine renewable energy company develops projects and technology that delivers electricity directly into the local power grid. Set in early 2010, the case outlines the tensions, challenges and costs (both financial and time) that management faces as it attempts to commercialize a technology in an industry with strict and rigid regulatory policies. The key teaching objectives of the case include a) understanding (...) the leadership role that the company must assume in paving the way for regulatory reform for US-based marine renewable technology ventures, and b) appreciating the importance and implications of sustainability given the pursuit of the financial and environmental mission of the founders. (shrink)

The 2003 blackout in the northern and eastern U.S. and Canada which caused a $6 billion loss in economic revenue is one of many indicators that the current electrical grid is outdated. Not only must the grid become more reliable, it must also become more efficient, reduce its impact on the environment, incorporate alternative energy sources, allow for more consumer choices, and ensure cyber security. In effect, it must become smart. Significant investments in the billions of dollars are (...) being made to lay the infrastructure of the future Smart Grid. However, the authors argue that we must take great care not to sacrifice consumer privacy amidst an atmosphere of unbridled enthusiasm for electricity reform. Information proliferation, lax controls and insufficient oversight of this information could lead to unprecedented invasions of consumer privacy. Smart meters and smart appliances will constitute a data explosion of intimate details of daily life, and it is not yet clear who will have access to this information beyond a person’s utility provider. The authors of this paper urge the adoption of Dr. Ann Cavoukian’s conceptual model ‘SmartPrivacy’ to prevent potential invasions of privacy while ensuring full functionality of the Smart Grid. SmartPrivacy represents a broad arsenal of protections, encapsulating everything necessary to ensure that all of the personal information held by an organization is appropriately managed. These include: Privacy by Design; law, regulation and independent oversight; accountability and transparency; market forces, education and awareness; audit and control; data security; and fair information practices. Each of these elements is important, but the concept of Privacy by Design represents its sine qua non. When applying SmartPrivacy to the Smart Grid, not only will the grid be able to, for example, become increasingly resistant to attack and natural disasters—it will be able to do so while also becoming increasingly resistant to data leakage and breaches of personal information. The authors conclude that SmartPrivacy must be built into the Smart Grid during its current nascent stage, allowing for both consumer control of electricity consumption and consumer control of their personal information, which must go hand in hand. Doing so will ensure that consumer confidence and trust is gained, and that their participation in the Smart Grid contributes to the vision of creating a more efficient and environmentally friendly electrical grid, as well as one that is protective of privacy. This will result in a positive-sum outcome, where both environmental efficiency and privacy can coexist. (shrink)

Coordination of a power system with the phasor measurement devices in real time on the load and generation sides is carried out within the context of smart grid studies. Power systems equipped with information systems in a smart grid pace with external security threats. Developing a smart grid which can resist against cyber threats is considered indispensable for the uninterrupted operation. In this study, a two-way secure communication methodology underpinned by a chaos-based encryption algorithm for (...) PMU devices is proposed. The proposed system uses the IEEE-14 busbar system on which the optimum PMU placement has been installed. The proposed hyperchaotic system-based encryption method is applied as a new security methodology among PMU devices. The success of results is evaluated by the completeness of data exchange, durations, the complexity of encryption-decryption processes, and strength of cryptography using a microcomputer-based implementation. The results show that the proposed microcomputer-based encryption algorithms can be directly embedded as encryption hardware units into PMU and PDC devices which have very fast signal processing capabilities taking into considerations the acceptable delay time for power system protection and measuring applications and quality metering applications which is 2 ms and 10 ms, respectively. While proposed algorithms can be used in TCP or UDP over IP-based IEEE C37.118, IEC 61850, and IEC 61850-90-5 communication frameworks, they can also be embedded into electronic cards, smartcards, or smart tokens which are utilized for authentication among smart grid components. (shrink)

The safety of the transmission lines maintains the stable and efficient operation of the smart grid. Therefore, it is very important and highly desirable to diagnose the health status of transmission lines by developing an efficient prediction model in the grid sensor network. However, the traditional methods have limitations caused by the characteristics of high dimensions, multimodality, nonlinearity, and heterogeneity of the data collected by sensors. In this paper, a novel model called LPR-MLP is proposed to predict the (...) health status of the power grid sensor network. The LPR-MLP model consists of two parts: local binary pattern, principal component analysis, and ReliefF are used to process image data and meteorological and mechanical data and the multilayer perceptron method is then applied to build the prediction model. The results obtained from extensive experiments on the real-world data collected from the online system of China Southern Power Grid demonstrate that this new LPR-MLP model can achieve higher prediction accuracy and precision of 86.31% and 85.3%, compared with four traditional methods. (shrink)

This paper presents the ‘rationality‐of‐ends/market‐structure grid’. With this grid, the article contrasts, in economic terms, different approaches to business ethics and addresses the question how far and what type of business ethics is feasible. Four basic scenarios for business ethics are outlined that imply different conceptualizations of business ethics. The grid interrelates a rationality‐of‐ends dimension with a market‐structure dimension. The rationality‐of‐ends dimension ranges from opportunism and self‐interested egoism to self‐interested altruism and ultimately to authentic altruism. The market‐structure (...) dimension ranges from perfect competition/no information problems/perfectly dispersed market power to imperfect competition/high information problems/concentrated power. Rather than presenting economic, legal, ethical and discretionary issues in a hierarchical fashion, the grid interrelates these issues. Conclusions are spelled out regarding the empirical observance of business ethics and the programmatic, ‘theoretical’ positions that are behind empirical observations. Practical implications for managers and public policy makers are outlined. (shrink)

This paper presents the ‘rationality‐of‐ends/market‐structure grid’. With this grid, the article contrasts, in economic terms, different approaches to business ethics and addresses the question how far and what type of business ethics is feasible. Four basic scenarios for business ethics are outlined that imply different conceptualizations of business ethics. The grid interrelates a rationality‐of‐ends dimension with a market‐structure dimension. The rationality‐of‐ends dimension ranges from opportunism and self‐interested egoism to self‐interested altruism and ultimately to authentic altruism. The market‐structure (...) dimension ranges from perfect competition/no information problems/perfectly dispersed market power to imperfect competition/high information problems/concentrated power. Rather than presenting economic, legal, ethical and discretionary issues in a hierarchical fashion, the grid interrelates these issues. Conclusions are spelled out regarding the empirical observance of business ethics and the programmatic, ‘theoretical’ positions that are behind empirical observations. Practical implications for managers and public policy makers are outlined. (shrink)

Sub-Saharan emerging countries experience electrical shortages resulting in power rationing, which ends up hampering economic activities. This paper proposes an approach for very short-term blackout forecast in grid-tied PV systems operating in low reliability weak electric grids of emerging countries. A pilot project was implemented in Arusha-Tanzania; it mainly comprised of a PV-inverter and a lead-acid battery bank connected to the local electricity utility company, Tanzania Electric Supply Company Limited. A very short-term power outage prediction model framework (...) based on a hybrid random forest algorithm was developed using open-source Python machine learning libraries and using a dataset generated from the pilot project’s experimental microgrid. Input data sampled at a 15-minute interval included day of the month, weekday, hour, supply voltage, utility line frequency, and previous days’ blackout profiles. The model was composed of an adaptive similar day module that predicts 15 minutes ahead from a sliding window lookup table spanning 2 weeks prior to the prediction target day, after which ASD prediction was fused with RF prediction, giving a final optimised RF-ASD blackout prediction model. Furthermore, the efficacy analysis of the short-term blackout prediction of the formulated RF, ASD, and RF-ASD regression and classification algorithms was compared. Considering the stochastic nature of blackouts, their performance was found to be fair in short-term blackout predictions of the test site’s weak grid using limited input data from the point of coupling of the user. The models developed were only able to predict blackouts if they occurred frequently and contiguously, but they performed poorly if they were sparse or dispersed. (shrink)

This paper presents the 'rationality-of-ends/market-structure grid'. With this grid, the article contrasts, in economic terms, different approaches to business ethics and addresses the question how far and what type of business ethics is feasible. Four basic scenarios for business ethics are outlined that imply different conceptualizations of business ethics. The grid interrelates a rationality-of-ends dimension with a market-structure dimension. The rationality-of-ends dimension ranges from opportunism and self-interested egoism to self-interested altruism and ultimately to authentic altruism. The market-structure (...) dimension ranges from perfect competition/no information problems/perfectly dispersed market power to imperfect competition/high information problems/concentrated power. Rather than presenting economic, legal, ethical and discretionary issues in a hierarchical fashion, the grid interrelates these issues. Conclusions are spelled out regarding the empirical observance of business ethics and the programmatic, 'theoretical' positions that are behind empirical observations. Practical implications for managers and public policy makers are outlined. (shrink)

Following aluminum as part of a material culture of speed and lightness, this article examines how assemblages of energy and metals connect built environments, ways of life, and ideologies of acceleration. Aluminum can be theorized as a circulatory matrix that forms an energy culture. Through a discussion of speed and social justice, the history of aluminium-based socioecologies reveals how the materiality of energy forms assemblages of objects, infrastructures, and practices. The article then traces the aluminum industry’s involvement in the production (...) and distribution of energy itself both at the national scale of power grids and in the emergence of transnational transfers of energy, such as hydropowered smelters in Iceland. Finally, this analysis of deeply embedded energy cultures calls for a transnational approach to the accelerated socioecologies of aluminum production and consumption; and for energy transition theories to pay closer attention to the figured worlds and figuring work of the military-industrial complex. (shrink)

Power density spectra and phase synchrony measurements were taken from intracranial electrode grids implanted in epileptic subjects. Comparisons were made between data from the waking state and from the period of unconsciousness immediately following a generalised tonic–clonic seizure. Power spectra in the waking state resembled coloured noise. Power spectra in the unconscious state resembled coloured noise from 1 to about 5 Hz, but at higher frequencies changed in two out of three subjects to resemble white noise. This (...) boosted unconscious gamma power to a higher level than conscious gamma power. For both gamma and beta passbands, synchrony measurements showed more widespread phase synchrony in the unconscious than the conscious state. We conclude that neither gamma activity per se nor phase synchrony per se are neural correlates of consciousness. (shrink)

The comprehensive liberalisation of the electricity market at the end of the last century has initiated a dynamic development. The politically determined disjunction of the network operation from generation, commerce and distribution which broke open the value added chain concerning the business organisation is to induce competition and consequently lower prices. Thus, besides a secure electricity supply, profitability, efficiency, quality and environmental aspects constitute present aims and have led to an enormous increase of complexity in the power supply. Furthermore, (...) the imponderability and uncertainty of competition processes in a liberated market aggravate prognoses for future investment decisions. Not least the anymore rising electricity demand, the emerging of a single European power market as well as technically pushed changes in the production structure, due to the emergence of alternative forms of power generation such as wind or solar energy, biomass energy or fuel cells, account for electric networks which afford complex planning and regulation mechanisms. This article gives a survey of various requirements posed on electricity networks and concludes with a short description of solution approaches to safeguard a cost-saving and secured future electricity supply. (shrink)

Introduction changing climates of colonialism -- Every Navajo has an anthro -- Extractive legacies: histories of Diné power -- The rise of energy activism -- Solar power in Klagetoh -- Sovereignty's interdependencies -- Contesting expertise: Public hearings on Desert Rock -- Artifacts of energy futures -- Off-grid in the Chuskas -- Conversions -- Vitalities.

This paper focuses on the problem of load frequency control and sensor fault-tolerant control in the multiarea power grid. To solve these problems, a sliding mode control strategy based on an interval observer is designed. First, an interval observer is designed to obtain the boundary estimation information of the system state online, which is used to reconstruct the load disturbance online. Based on the reconstructed values, an integral sliding mode controller is designed to keep the system frequency stable (...) when the load is disturbed. Then, sensor fault is diagnosed by interval residual. An augmented observer is designed to estimate sensor fault online by equivalent transformation, and the sensor fault is compensated by the fault estimation to reduce the influence of fault on system performance and ensure the reliable and stable operation of the power system. The simulation results show the superiority of the proposed control strategy. (shrink)

Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify (...) the dataset into multiple clusters, including forecasting error and meteorological factors. Finally, the joint probability density is established by multivariate kernel density estimation to accomplish the PV power interval prediction. The proposed hybrid method is applied for the interval prediction of PV power at Yulara, Australia. Comparative research of point forecasting is implemented to evaluate the machine learning and deep learning methods, with the proposed SAE-BRNARX under four different periods. Results shows that the average values of nRMSE, MRE, nMAE, and R2 for the four periods are 4.45%, 0.90%, −0.15%, 3.39%, and 95.93%, respectively. Moreover, the results of interval prediction obtained by the other interval prediction approaches are compared with the proposed KMDDPC-MKDE. It shows that the average values of PICP, PINAW, ACE, and nMPICD for four periods are 93.93%, 9.50%, 3.93%, and 7.10% at 90% confidence level, respectively. Outcomes demonstrate that the proposed method can obtain more accuracy, a higher coverage rate, narrower average bandwidth, and a closer distance between the middle of interval and actual value than other methods. (shrink)

Using devices such as unified power quality conditioners in distribution networks seems essential for higher electricity quality. Moreover, distribution network reconfiguration is a suitable model for improving network characteristics, including loss reduction and voltage increase for distribution networks, and is widely used in this era. Here, the study discusses the rechanging of distribution networks for UPQC via proposing an appropriate model for it. In addition to the optimum structure of distribution networks, the most appropriate branch where UPQC must be (...) located and the most appropriate reactive power size with which series and shunt filters must be injected into the grid are determined. The simulations have been applied on two 69- and 84-standard-bus networks. The results of the simulations indicate much power loss reduction and much voltage increase in the presence of UPQC compensators. (shrink)

This paper examines the question of how to determine the extent of a multinational corporation ’s corporate social responsibility for actions by its suppliers. Drawing on three theories of power and influence from the organization and management literature—resource-dependence theory, social exchange theory and social network theory, this paper presents a conceptual framework for analysing the extent of power and influence of an MNC in a global supply chain based on a consideration of economic and non-economic exchanges and direct (...) and indirect exchanges in the MNC’s industry network. The paper also shows how the legal concept of complicity can be incorporated by considering the knowledge links of the MNC to other organizations in the industry network. Finally, the paper demonstrates how the concepts can be integrated to construct a power assessment grid which can be used to assess the extent of responsibility of an MNC for the actions of its suppliers and other parties in the industry, as well as a map of power and knowledge relationships between organizations in the industry which can be used for further analyses using social network analysis techniques. (shrink)

Are there illusions of duration? Certainly, many experiences of an event’s duration differ from its measure in clock duration, the measure of that event in seconds, minutes, hours, and so forth. However, I argue that an illusory duration requires more than difference from a real duration; it requires difference from a duration that is relevant to experience. It is plausible to hold that there are many kinds of real duration and reason to question the relevance of all of them. In (...) particular, the interpretation of experienced duration as illusory is typical because it is compared to clock time; the experience of duration goes wrong by being different from a clock measurement of duration. However, I argue that clock duration is not obviously relevant to evaluating the experience of duration.In response, one might hold that it is plausible to evaluate experience by clock duration because clocks more closely match reality than experiences do; on the scale of experience, clock time is no different to real duration. It is not that experienced duration is an illusion because it is merely different from clock duration; it is an illusion because it is different from real duration and we know this because of its difference from clock duration. It is like illusions of size: some object seems to be a size it is not and we know this by comparing it to an object we can otherwise accurately measure by meters.However, unlike size illusions, it is not clear what the ‘real duration’ is against which we should evaluate apparent duration. What is meant by ‘real duration’ involves either an appeal to the duration of substantial absolute time or some kind of duration in things, for example, duration which is the measure of change in some kind of process. is an irrelevant duration; few positions hold that we experience absolute time. As for, if real duration is a measure of change, then, for experienced duration to match clock duration, they must both agree on the relevant change. If there is a difference in what is treated as the real duration, then neither experience nor clocks can be treated as evaluable in terms of the other.Finally, we may have an illusory duration because there are cases of variation between experiences of the same duration. Yet, even here, we may be misled; we may not be directly comparing experiences. We compare the experienced durations through first measuring each in terms of clock duration. If there is a variability in the relationship between clock standard and some relevant standard for experience, then one expects anything accurately meeting one standard to differ from anything accurately meeting the other. The error is holding there is a stable relationship between the standards. This error is not a matter of our experience of duration, and so is not an illusion of duration. (shrink)

BackgroundSeveral studies identified low subjective feelings of power in women with anorexia nervosa. However, little is known about implicit power motives and the discrepancy between explicit feelings of power and implicit power motives in AN.AimThe study investigated the discrepancy between explicit feelings of power and implicit power motives and its relationship to anxiety in patients with AN.MethodFifty-three outpatients and inpatients with AN and 48 participants without AN were compared regarding subjective feelings of power (...) and anxiety. Explicit power [investigated with the Personal Sense of Power Scale and a visual analog scale ], implicit power motives [investigated with the Multi-Motive Grid ] and trait anxiety [measured with the State-Trait Anxiety Inventory ], were assessed.ResultsExplicit feelings of power were lower in patients with AN compared to non-AN participants. No differences in implicit power motives were found when comparing the groups against each other. However, looking at the groups separately, women with AN had similar levels of implicit fear of losing power and hope for power, whereas woman without AN had significantly lower fear of losing power than hope for power. Focusing on discrepancies between powerful feelings and power motives, results were mixed, depending on the subscale of the MMG. Lastly, discrepancies between implicit power motives and explicit feelings of power were positively correlated with trait anxiety in AN patients.ConclusionThese findings underline that individuals with AN display significantly lower explicit feelings of power, however, they show similar implicit power motives compared to individuals without AN. The discrepancy between explicit feelings of power and implicit power motives is related to anxiety in AN and may represent a vulnerability factor to illness maintenance. (shrink)

Presently, the State Grid Corporation of China has accumulated a large amount of maintenance records for power primary equipment. Unfortunately, most of these records are unstructured data which lead to difficultly analyze and utilize them. The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. This paper proposes a progressive multitype feature fusion model to recognize Chinese named entity of unstructured maintenance records for power primary equipment. Firstly, the textual (...) characteristics and word separation difficulties of maintenance records are analyzed, then 7 main entity categories of power technical terms from unstructured maintenance records are chosen, and 3452 maintenance records are labeled by these categories, which is so called EPE-MR training dataset. Secondly, the standard test reports, standard maintenance, and fault analysis reports for three types of power primary equipment are employed as corpus to train character embedding in order to obtain certain words representation ability of maintenance records. After that, progressive multilevel radicals feature extraction module is designed to get detailed and fine semantic information in a hierarchical manner. Further, radicals feature representation and character embedding are concatenated and sent to BiLSTM module to extract contextual information in order to improve Chinese entity recognition ability. Moreover, CRF is introduced to handle the dependencies among prediction labels and to output the optimal prediction sequence, which can easily obtain structured data of maintenance records. Finally, comparative experiments on public MSRA dataset, China People’s Daily corpus, and EPE-MR dataset are implemented, respectively, which show the effectiveness of the proposed method. (shrink)

To reduce CO2 emissions requires greater reliance on renewable sources of energy for generating electricity, especially adoption of large-scale wind generation. This study investigates possible approaches and/or policies that increase efficient use of renewable energy and reduce greenhouse gas emissions in a cost effective manner. We develop a constrained optimization model of two electricity systems to identify the impact of increasing wind generating capacity and examine how carbon prices (taxes, allowances) impact the penetration of wind power into the electricity (...) grids. Rather than employ engineering cost functions, marginal cost functions are estimated using hourly offer data from the Alberta Electric System Operator. We determine optimal removal of coal generating facilities as greater levels of wind capacity are installed in an integrated Alberta-BC electricity system; and examine the economic costs and institutional incentives that affect the ability to store intermittent wind-generated power in BC’s hydro reservoirs during low demand. The marginal shadow price of storage is zero, whichindicates that there is more than enough water behind the dams given Alberta’s relatively small demand for storage and limited intertie transmission capacity. (shrink)

This study proposes a novel fractional-order sliding-mode control strategy with robust switching gain to achieve reliable and high quality of wind-powered microgrid systems. Three fractional-order sliding mode controllers are designed to generate continuous control signals and regulate the outer DC-link voltage loop and inner current loop in the grid-side inverters. High robustness and stability of the grid-side inverter can be guaranteed even in the presence of parameter variations and external disturbances. Owing to the fractional-order sliding manifold and fractional-order (...) integral control law, the chattering is attenuated. The fractional-order robust adaptive switching gain is designed to avoid overestimating the upper bound of matched/unmatched uncertainties, save the control energy, and guarantee the rapidity and robustness of the convergence. Simulations validate the proposed method. (shrink)

ObjectiveTo examine how physical and psychological childbirth experiences affect maternal perceptions and experiences of early infant behavioural style.BackgroundUnnecessary interventions may disturb the normal progression of physiological childbirth and instinctive neonatal behaviours that facilitate mother–infant bonding and breastfeeding. While little is known about how a medicalised birth may influence developing infant temperament, high impact interventions which affect neonatal crying and cortisol levels could have longer term consequences for infant behaviour and functioning.MethodsA retrospective Internet survey was designed to fully explore maternal experiences (...) of childbirth and her postnatal perceptions of infant behaviour. Data collected from 999 mother–infant dyads were analysed using Pearson’s correlations and multiple analyses of covariance, employing the Bonferroni method of correction to establish initially significant variables. Multiple linear regressions were conducted to determine major perinatal contributors to perceived early infant temperament.ResultsMultiple regression analyses on each of the eight Mother and Baby Scales outcome variables indicated that early infant behavioural style was largely predicted by subjective maternal states during and post-childbirth, postnatal depression scores, maternal personality traits and infant age. For example, infant age was the most significant predictor of Alert-Responsive infant behaviour, followed by maternal Postnatal Positive experience. In contrast, depression scores were the most significant predictor of Unsettled-Irregular infant behaviour, followed by Anxious-Afraid Birth Emotions and infant age. Mothers also perceived their infants as more Alert-Responsive and Easier overall after a Supported birth experience.ConclusionMaternal and infant outcomes were influenced by multiple physical and psychological perinatal variables. The mother’s subjective experience appeared to be of equal significance to more objective factors. Social support enhanced the mother’s childbirth experience, benefitting her perceptions of her baby’s early temperament. These findings provide further support for current World Health Organisation intrapartum guidelines on the importance of making childbirth a ‘positive experience’ for women. (shrink)

For efficient energy distribution, microgrids provide significant assistance to main grids and act as a bridge between the power generation and consumption. Renewable energy generation resources, particularly photovoltaics, are considered as a clean source of energy but are highly complex, volatile, and intermittent in nature making their forecasting challenging. Thus, a reliable, optimized, and a robust forecasting method deployed at MG objectifies these challenges by providing accurate renewable energy production forecasting and establishing a precise power generation and consumption (...) matching at MG. Furthermore, it ensures effective planning, operation, and acquisition from the main grid in the case of superior or inferior amounts of energy, respectively. Therefore, in this work, we develop an end-to-end hybrid network for automatic PV power forecasting, comprising three basic steps. Firstly, data preprocessing is performed to normalize, remove the outliers, and deal with the missing values prominently. Next, the temporal features are extracted using deep sequential modelling schemes, followed by the extraction of spatial features via convolutional neural networks. These features are then fed to fully connected layers for optimal PV power forecasting. In the third step, the proposed model is evaluated on publicly available PV power generation datasets, where its performance reveals lower error rates when compared to state-of-the-art methods. (shrink)