Power systems need to be optimised for efficient use of resources and in order to meet stringent requirements for power quality and reliability. Algorithms exist and are in development for various tasks including sizing, voltage and frequency control, demand response, fault identification, and for specific situations and systems such as hybrid energy systems and hot climates. Especially in urban areas with high population densities, researchers and experts need to be abreast of R&D trends, both for energy systems for communities as well as for smart grid developments.
This work on power systems for residential areas is presented in two volumes. Volume 1: Sizing and optimization of energy systems for communities begins with an overview of power systems and smart grids optimizations for sustainable cities, then goes on to explore optimization algorithms for sizing, economic dispatch, assessment of configuration of renewable energy systems, optimization and sizing of hybrid systems and 100% green hybrid energy systems.
Volume 2: Control, management and power quality of smart grids begins with a review of optimization algorithms. Further chapters cover smart grid concepts and dispatch strategies, energy allocation, power quality indices, load frequency control in smart grids, optimization for fault identification and protection, communication systems, and community energy cells.
These volumes offer a valuable resource for researchers, policymakers, and industry professionals involved with designing and refitting electric power systems, and for anyone seeking to advance the field of power systems and smart grid technology. By providing a comprehensive overview, highlighting key challenges and opportunities, and suggesting future research directions, the book contributes to the ongoing efforts to build a sustainable and resilient energy future.
Key reading on optimization algorithms for the design of smart grids. After summarizing smart grid concepts and strategies, chapters cover demand response, power quality parameters, frequency and voltage control, fault identification and protection, as well as smart communication.
Chapter 1: A review of the modern optimization algorithms in smart grid
concept applications
Chapter 2: Smart grid concepts and dispatch strategies
Chapter 3: Energy allocation in multi-agent systems with fair energy
scheduling using auction mechanisms and optimization-based approach in
microgrids
Chapter 4: Enhancement of the power quality indices based on a recent
optimization algorithm
Chapter 5: Advanced load frequency control in smart grids using optimization
techniques for enhanced stability and performance
Chapter 6: Optimization techniques for fault identification and optimal
allocation of protective devices
Chapter 7: A smart communication system considering the IoT for modern smart
grid system
Chapter 8: Community energy cells
Ali Mohamed Eltamaly is a distinguished full professor at King Saud University, Saudi Arabia, and Mansoura University, Egypt. He received his PhD degree in Electrical Engineering from Texas A&M University in 2000. His research interests include renewable energy, smart grids, power quality, evolutionary and heuristic optimization techniques, and distributed generation. He has authored or co-authored more than 250 refereed journals, conference papers, books, as well as several patents. He supervised numerous graduate theses and participated in international technical projects. He has received a distinguished professor award, held leadership roles in prestigious journals, and chaired conferences.
Ahmed Abdelhamid Zaki Diab, PhD, is a distinguished associate professor in the Department of Electrical Engineering at Minia University, Egypt. He received his PhD in Electrical Engineering from Novosibirsk State Technical University in 2015. His previous positions include serving as a visiting researcher at Kyushu University, Japan. Among his accolades, he received a State Award for Academic and Scientific Excellence in Engineering Science, Egypt. He has published books and authored or co-authored more than 100 refereed journal articles and conference papers. His research interests include renewable energy, smart grids, AC drives, and heuristic optimization.
