Ali Mohamed Eltamaly – författare

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.

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.

This book presents a comprehensive definition of smart grids and their benefits, and compares smart and traditional grids. It also introduces a design methodology for stand-alone hybrid renewable energy system with and without applying the smart grid concepts for comparison purposes. It discusses using renewable energy power plants to feed loads in remote areas as well as in central power plants connected to electric utilities. Smart grid concepts used in the design of the hybrid renewable power systems can reduce the size of components, which can be translated to a reduction in the cost of generated energy. The proposed hybrid renewable energy system includes wind, photovoltaic, battery, and diesel, and is used initially to feed certain loads, covering the load required completely. The book introduces a novel methodology taking the smart grid concept into account by dividing the loads into high and low priority parts. The high priority part should be supplied at any generated conditions. However, the low priority loads can be shifted to the time when the generated energy from renewable energy sources is greater than the high priority loads requirements. The results show that the use of this smart grid concept reduces the component size and the cost of generated energy compared to that without dividing the loads. The book also describes the use of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) to optimally design the hybrid renewable energy system. This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system’s design and sizing. It also helps readers understand the dispatch methodology and how to connect the system’s different components, their modeling, and the cost analysis of the system.