Sustainable energy services to customers - a balanced choice and coordination of energy generated by traditional and alternative sources - are the subject of this new innovative book. The myriad factors involved in modeling an effective sustainable power system are overwhelming. The Green Islands project represents a decade of work by over a dozen researchers who have developed a model designed to utilize the potential of distributed clean resources. The key is the proper use of Information Technology (IT).Sited on two islands in the Azores, the project developed the model of careful forecasting of demand and supply, down to the minute, coordinating the output of conventional power plants, wind energy, fly wheels, hydroelectricity, demand reduction, and even plug-in electric vehicles to take full advantage of the clean resources available. The energy contingencies of the remote islands are not unique. The issues of integrating promising clean technologies, such as wind, into a complex power grid are challenging in geographically far-flung, island-scale, power systems.
Model-based sensing, communications, and decision-making algorithms to coordinate adaptive load management (ALM) could enable customers to utilize just-in-time (JIT), just-in-place (JIP), and just-in-context (JIC) energy resources. The distribution of flexible and efficient energy to customers is the goal. The model the authors have developed could change the way power portfolios are built. A new perspective for optimization of green energy is presented in this book. Additional data provided online via Springer represents a repository of real-world electric energy systems and its IT-enabled smarts."

This book offers a comprehensive collection of research articles that utilize data—in particular large data sets—in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available heterogeneous data sets for improved decision-making. The authors present a first-of-its-kind comprehensive review of big data opportunities and challenges in the smart grid industry. This book provides succinct and useful theory, practical algorithms, and case studies to improve power grid operations and planning utilizing big data, making it a useful graduate-level reference for students, faculty, and practitioners on the future grid.

This monograph presents a possible research agenda for analytics and control of a deep decarbonized electric grid with pervasive data, interactive consumers, and power electronics interfaces. It focuses on new lines of investigation that are driven by new technological, economical, and policy factors. Conventional monitoring and control of the power grid heavily depends upon the physical principles of the underlying engineering systems. There is however increasing complexity of the physical models compounded by a lack of precise knowledge of their parameters, as well as new uncertainties arising from behavioral, economic, and environmental aspects. On the other hand there is increasing availability of sensory data in the engineering and economic operations and it becomes attractive to leverage such data to model, monitor, analyze, and potentially close control loops over data. The increasing deployment of large numbers of Phasor Measurement Units (PMUs) provides the potential for providing timely and actionable information about the transmission system. Chapter 2 examines a framework for drastically reducing the dimensionality of the high volume streaming data, while preserving its salient features for purposes such as event detection, classification and visualization, and potentially even to close the loop around the data. Driven by the deepening penetration of renewable energy resources at both transmission and distribution levels, there is an increasing need for utilizing power electronics interfaces as intelligent devices to benefit the overall grid. Chapter 3 offers a conceptual design and concrete examples of a qualitatively different power grid stabilization mechanism in the context of networked microgrids. Another major paradigm change in the operation of the grid is that demand will have to be engaged much more to balance the partially variable renewable energy supply, which in turn requires greater understanding of human behavior to economic variables such as price. Chapter 4 presents a possible formulation to model the behavior of individual consumers in future grid operations. Chapter 5 presents a proposed solution to the problem of detecting attacks on the sensor measurements in the grid, which has become a greater concern with increasing reliance on sensor data transported over communication networks, with both sensors and networks liable to malicious cyber-attacks. The goal of this monograph is to design clean, affordable, reliable, secure, and efficient electricity services. and to expand the horizon of the state of the research in the electric energy systems, at a critical time that is seeing the emergence of Grid 3.0. It is by no means complete and aims to stimulate research by next generation researchers.