Optimization Methods for Electric Power Systems

This book provides an in-depth exploration of the operational planning, optimization, and interconnection of power systems, with a focus on economic and emission dispatch. It covers essential concepts such as load forecasting, unit commitment, economic dispatch, and system frequency maintenance, all while highlighting the challenges and strategies for minimizing both fuel costs and environmental emissions. The book also introduces the hybrid Fuzzy-Opposition Based Differential Evolution Algorithm (FODEA) for optimizing generation scheduling. Additionally, it examines the basic and interconnection components of power systems, offering insights into their evolution and the complexities of managing large-scale, interconnected grids.

This work delves into the optimization challenges of modern power systems, with a focus on Economic Emission Dispatch (EED) to minimize both fuel costs and emissions. It presents the hybrid Fuzzy-Opposition Based Differential Evolution Algorithm (FODEA) as a solution for efficient scheduling under variable load conditions. The book also covers the fundamental components of power systems, from generation to distribution, and discusses the critical role of system interconnections. Emphasizing the complexities of interconnected grids and the trade-offs between cost reduction and environmental impact, the research offers a comprehensive approach to operational planning in energy systems.

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