Microgrid

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units. It also highlights the importance of adaptive learning techniques for controlling autonomous microgrids. It further presents optimization-based computing techniques like fuzzy logic, and neural networks to enhance the computational speed.

Features

• Discusses heuristic techniques and evolutionary algorithms in microgrids optimization problems
• Covers operation management, distributed control approaches, and conventional control methods for microgrids
• Presents intelligent control for energy management and battery charging systems
• Highlights a comprehensive treatment of power sharing in DC microgrids
• Explains control of low-voltage microgrids with master-slave architecture, where distributed energy resources interface with the grid by means of conventional current-driven inverters

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and environmental engineering.

Amit Kumar Pandey completed his PhD in microelectronics and VLSI from MNNIT Allahabad. He earned his MTech from NIT Allahabad and BE in Electronics Engineering from Swami Ramanand Teerth Marathwada University Nanded. He has been an assistant professor at Rajkiya Engineering College, Ambedkar Nagar for the last four years and has twelve years teaching experience. He has published more than thirty research papers in referred journals such as Springer, Wiley, Emerald, among others. He has also published three patents. His areas of expertise include microelectronics device modeling and characterization, low power VLSI circuit design and VLSI design of testing.

, is a Full Professor of Electrical Power Engineering in the Department of Electrical Engineering, IT and Cybernetics, University of South-Eastern Norway. He has authored 600 plus scientific papers, and is a fellow of the Institution of Engineering and Technology (UK).

completed her PhD in microelectronics and VLSI from MNNIT, Allahabad. She completed her post-doc from the Nottingham Trent University, UK in 2023. She is associated with Lovely Professional University as a professor with more than twenty-two years of experience in academics. She has published more than 125 research papers She received the "Research Excellence Award" in 2019 and "Research Appreciation Award" in 2020, 2021, and 2023 at Lovely Professional University, India. Her areas of expertise include microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing, and advanced FET design for IoT, Embedded System Design and biomedical applications.

is an assistant professor in the Department of Electrical Engineering, faculty of Engineering & Technology, Dr. Shakuntala Mishra National Rehabilitation University Lucknow, India. He graduated from Ideal Institute of Technology, Ghaziabad, India and completed his post-graduation with hons. degree in Power System Engineering specialization in the Department of Electrical Engineering from IIT (ISM) Dhanbad, India. He has authored numerous SCIE, Scopus and pear reviewed research papers in refereed journals such as IEEE, Springer, Elsevier and at conference proceeding. He was also granted two international patents. He received the best paper award at NPSC. His areas of research are power systems and control.

is pursuing his PhD in Renewable energy from MMMUT, Gorakhpur. He graduated from Ideal Institute of Technology, Ghaziabad, India and completed his post-graduation with hons. degree in Power Electronics and Drives specialization in the Department of Electrical Engineering from Madan Mohan Malaviya University of Technology, Gorakhpur, India. He is currently an assistant professor in the Department of Electrical Engineering, Rajkiya Engineering College Ambedkar Nagar, India. He has more than seven years of experience in academics and research. His areas of expertise include power electronics modeling and characterization, renewable energy, optimization, IoT, and embedded system design.