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Full Description
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.
Contents
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
