Pathways To A Smarter Power System

Pathways to a Smarter Power System studies different concepts within smart grids that are used in both industry and system regulators (e.g. distribution and transmission system operators) and research. This book covers these concepts from multiple perspectives and in multiple contexts, presenting detailed technical information on renewable energy systems, distributed generation and energy storage units, methods to activate the demand side of power systems, market structure needs, and advanced planning concepts and new operational requirements, specifically for power system protection, technological evolvements, and requirements regarding technology in ICT, power electronics and control areas. This book provides energy researchers and engineers with an indispensable guide on how to apply wider perspectives to the different technological and conceptual requirements of a smarter power system. Includes concepts regarding conceptual and technological needs and investment planning suggestions for smart grid enabling strategies Contains new electric power system operational concepts required by industry, along with R&D studies addressing new solutions to potential operational problems Covers pathways to smarter power systems from successful existing examples to expected short, medium and long-term possibilities

Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HDVC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems for microgrids Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.

The study’s recommendations describe institutional elements in the context of electric power sector regulation and has the objective to increase the understanding of the interdependencies of the institutional elements. In future work, the study results might be employed for designing very specific regulatory policies. The recommendations developed in this study focus primarily on the regulatory framework for smart grids and contains a quite detailed description of how the German electricity markets evolved. It also focuses on the effects of ambitiously expanding generation capacities of renewable energy sources (RES) on established electricity markets. The presented evidence will provide insights on how the regulatory framework in China could be designed to foster smart grids developments in the context of establishing electricity markets and expanding RES generation capacities.

This book covers power systems cybersecurity. In order to enhance overall stability and security in wide-area cyber-physical power systems and defend against cyberattacks, new resilient operation, control, and protection methods are required. The cyberattack-resilient control methods improve overall cybersecurity and stability in normal and abnormal operating conditions. By contrast, cyberattack-resilient protection schemes are important to keep the secure operation of a system under the most severe contingencies and cyberattacks. The main subjects covered in the book are: 1) proposing new tolerant and cyberattack-resilient control and protection methods against cyberattacks for future power systems, 2) suggesting new methods for cyberattack detection and cybersecurity assessment, and 3) focusing on practical issues in modern power systems.

This book covers issues associated with smart systems due to the presence of onboard nonlinear components. It discusses the advanced architecture of smart systems for power management units. It explores issues of power management and identifies hazardous signals in the power management units of smart devices. It Presents adaptive artificial intelligence and machine learning-based control strategies. Discusses advanced simulations and data synthesis for various power management issues. Showcases solutions to the uncertainty and reliability issues in power management units. Identifies new power quality challenges in smart devices. Explains hybrid active power filters, shunt hybrid active power filters, and the industrial internet of things in power quality management. This book comprehensively discusses advancements of traditional electrical grids, the benefits of smart grids to customers and stakeholders, properties of smart grids, smart grid architecture, smart grid communication, and smart grid security. It further covers the architecture of advance power management units (PMU) of smart devices, and the identification of harmonic distortions with respect to various sensor-based technology. It will serve as an ideal reference text for senior undergraduate and graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

Provides a systems approach to sustainable green energy production and contains analytical tools to aid in the design of renewable microgrids This book discusses the fundamental concepts of power grid integration on microgrids of green energy sources. In each chapter, the author presents a key engineering problem, and then formulates a mathematical model of the problem followed by a simulation testbed in MATLAB, highlighting solution steps. The book builds its foundation on design of distributed generating system, and design of PV generating plants by introducing design- efficient smart residential PV microgrids. These include energy monitoring systems, smart devices, building load estimation, load classification, and real-time pricing. The book presents basic concepts of phasor systems, three-phase systems, transformers, loads, DC/DC converters, DC/AC inverters, and AC/DC rectifiers, which are all integrated into the design of microgrids for renewable energy as part of bulk interconnected power grids. Other topics of discussion include the Newton formulation of power flow, the Newton—Raphson solution of a power flow problem, the fast decoupled solution for power flow studies, and short circuit calculations. Focuses on the utilization of DC/AC inverters as a three-terminal element of power systems for the integration of renewable energy sources Presents basic concepts of phasor systems, three-phase systems, transformers, loads, DC/DC converters, DC/AC inverters, and AC/DC rectifiers Contains problems at the end of each chapter Supplementary material includes a solutions manual and PowerPoint presentations for instructors Design of Smart Power Grid Renewable Energy Systems, Second Edition is a textbook for undergraduate and graduate students in electric power systems engineering, researchers, and industry professionals. ALI KEYHANI, Ph.D., is a Professor in the Department of Electrical and Computer Engineering at The Ohio State University. He is a Fellow of the IEEE and a recipient of The Ohio State University, College of Engineering Research Award for 1989, 1999, and 2003. He has worked for Columbus and Southern Electric Power Company, Hewlett-Packard Co., Foster Wheeler Engineering, and TRW. He has performed research and consulting for American Electric Power, TRW Control, Liebert, Delphi Automotive Systems, General Electric, General Motors, and Ford. Dr. Keyhani has authored many articles in IEEE Transactions in energy conversion, power electronics, and power systems engineering.

INTEGRATION OF RENEWABLE ENERGY SOURCES WITH SMART GRID Provides comprehensive coverage of renewable energy and its integration with smart grid technologies. This book starts with an overview of renewable energy technologies, smart grid technologies, and energy storage systems and covers the details of renewable energy integration with smart grid and the corresponding controls. It also provides an enhanced perspective on the power scenario in developing countries. The requirement of the integration of smart grid along with the energy storage systems is deeply discussed to acknowledge the importance of sustainable development of a smart city. The methodologies are made quite possible with highly efficient power convertor topologies and intelligent control schemes. These control schemes are capable of providing better control with the help of machine intelligence techniques and artificial intelligence. The book also addresses modern power convertor topologies and the corresponding control schemes for renewable energy integration with smart grid. The design and analysis of power converters that are used for the grid integration of solar PV along with simulation and experimental results are illustrated. The protection aspects of the microgrid with power electronic configurations for wind energy systems are elucidated. The book also discusses the challenges and mitigation measure in renewable energy integration with smart grid. Audience The core audience is hardware and software engineers working on renewable energy integration related projects, microgrids, smart grids and computing algorithms for converter and inverter circuits. Researchers and students in electrical, electronics and computer engineering will also benefit reading the book.

Electric Power Systems Resiliency: Modelling, Opportunity and Challenges considers current strengths and weaknesses of various applications and provides engineers with different dimensions of flexible applications to illustrate their use in the solution of power system improvement. Detailing advanced methodologies to improve resiliency and describing resilient-oriented power system protection and control techniques, this reference offers a deep study on the electrical power system through the lens of resiliency that ultimately provides a flexible framework for cost-benefit analysis to improve power system durability. Aimed at researchers exploring the significance of smart monitoring, protecting and controlling of power systems, this book is useful for those working in the domain of power system control and protection (PSOP). Features advanced methodologies for improving electrical power system resiliency for different architectures, e.g., smart grid, microgrid and macro grid Discusses resiliency in power generation, transmission and distribution comprehensively throughout Includes case studies that illustrate the applications of resilience in power systems