Load Frequency Control Of Microgrids

The book focuses on describing the emerging microgrid concept, and its various constituents, especially the EV technology, and investigates the load frequency control performance of different microgrid configurations by implementing the modern control theory. An exhaustive study is presented on the various renewable energy sources and an up-to-date status of their installed capacity and power generation. The text presents case studies for load frequency control of a microgrid in its various operating modes. This book: Discusses power system stability, significance of load frequency control in power system, modeling of a microgrid, and frequency deviation response. Covers various energy storage technologies such as superconducting magnetic energy storage, electrochemical energy storage, and compressed air energy storage. Presents modes of interaction of the electric vehicles with the utility grid and implementation of the electric vehicles for load frequency control. Illustrates control approaches for load frequency control and metaheuristic optimization algorithms. Showcases the study of load frequency control for standalone microgrid systems, grid-connected microgrid systems, and multi-microgrid systems. It is primarily written for senior undergraduates, and graduate students in the fields of electrical engineering, electronics, communication engineering, and renewable energy.

Power System Frequency Control: Modeling and Advances evaluates the control schemata, secondary controllers, stability improvement methods, optimization considerations, microgrids, multi-microgrids, and real-time validation required to model and analyze the dynamic behavior of frequency in power systems. Chapters review a range of advanced modeling and analytical considerations for single to multi-area networks using traditional and hybrid sources, including renewable sources, FACT devices and storage. The work also considers broad aspects of upstream and downstream control mechanisms which enable novel solutions in the area of automatic generation control in power system networks. Highly recommended for power system engineers, researchers and practitioners with interests in load frequency control, automatic generation control, linearized models of isolated microgrid, and multi-microgrid, and hybrid LFC scheme, this book is an ideal resource on the topics discussed. Explains the function and purpose of power network frequency loops, including primary control, secondary control and emergency control loops Models LFC schemes from single-area to multi-area interconnected power systems Demonstrates five fundamental controller designs alongside their main error principles Evaluates dynamic response analysis with transient performance stated for modern indices Discusses performance studies such as state-space modeling, random loading, sensitivity and stability analyses

Frequency control as a major function of automatic generation control is one of the important control problems in electric power system design and operation, and is becoming more signi?cant today because of the increasing size, changing structure, emerging new uncertainties, environmental constraints and the complexity of power systems. In the last two decades, many studies have focused on damping control and vo- age stability and the related issues, but there has been much less work on the power system frequency control analysis and synthesis. While some aspects of frequency control have been illustrated along with individual chapters, many conferences and technical papers, a comprehensive and sensible practical explanation of robust f- quency control in a book form is necessary. This book provides a thorough understanding of the basic principles of power system frequency behaviour in wide range of operating conditions. It uses simple frequency response models, control structures and mathematical algorithms to adapt modern robust control theorems with frequency control issue and conceptual exp- nations. Most developed control strategies are examined by real-time simulations. Practical methods for computer analysis and design are emphasized. This book emphasizes the physical and engineering aspects of the power s- tem frequency control design problem, providing a conceptual understanding of frequency regulation, and application of robust control techniques. The main aim is to develop an appropriate intuition relative to the robust load frequency regulation problem in real-world power systems, rather than to describe sophisticated mat- matical analytical methods.

This book offers a wide-ranging overview of advancements, techniques, and challenges related to the design, control, and operation of microgrids and their role in smart grid infrastructure. It brings together an authoritative group of specialists who approach the subject from a number of different viewpoints in the electric power industry, including electricity distribution companies, aggregators, power market retailers, and power generation companies. Design, Control, and Operation of Microgrids in Smart Grids is an authoritative resource for students, researchers, and professionals working with power and energy systems.

This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. • Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks • Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks • Presents basics and mathematical foundations needed to enable efficient decision making and intelligence in interdependent complex networks M. Hadi Amini is an Assistant Professor at the School of Computing and Information Sciences at Florida International University (FIU). He is also the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab). He received his Ph.D. and M.Sc. from Carnegie Mellon University in 2019 and 2015 respectively. He also holds a doctoral degree in Computer Science and Technology. Prior to that, he received M.Sc. from Tarbiat Modares University in 2013, and the B.Sc. from Sharif University of Technology in 2011.

Electrical power systems are evolving at the generation, transmission, and distribution levels. At distribution level, small generating and storage units—the so-called distributed energy sources (DERs)—are being installed close to consumption sites. The expansion of DERs is empowering renewable energy source integration and, as a consequence, new actors are appearing in electrical systems. Among them, the prosumer is a game-changer; the fruit of the behavior transformation of the consumer who has not only the ability to consume power but also to produce it. Microgrids can be understood as DER installations that have the capability of both grid-connected and grid-isolated operation. During the last decades, there has been a significant deployment of microgrids (e.g., in countries like the United States, Switzerland, and Denmark) and a consequent increase in renewable energy generation. This is contributing to the decarbonization of electrical power systems. However, the variability and intermittency of renewable sources introduce uncertainty, which implies a more complex operation and control. Taking into account that existing and future planned microgrids are being/going to be interconnected to the current electrical network, challenges in terms of design, operation, and control at power system level need to be addressed, considering existing regulations.

This book includes selected papers from the International Conference on Green Technology for Smart City and Society (GTSCS 2020), organized by the Institute of Technical Education and Research, Siksha ‘O’ Anusandhan University, Bhubaneswar, India, during 13–14 August 2020. The book covers topics such as machine learning, artificial intelligence, deep learning, optimization algorithm, IoT, signal processing, etc. The book is helpful for researchers working in the discipline of Electrical, Electronics and Computer Science. The researchers working in the allied domain of communication and control will also find the book useful as it deals with the latest methodologies and applications.