Metaheuristics are high-level procedures designed to identify or generate heuristics that provide sufficiently good solutions to complex optimization problems, even when information is incomplete or computation resources are limited. These methods often achieve effective solutions with less computational effort than conventional algorithms. Modern power systems—with distributed and intermittent generation, electric vehicle charging, and increasing complexity—present ideal applications for metaheuristic approaches.
This new edition, presented in two volumes, incorporates a MATLAB-based software package for testing and comparing algorithms and includes several updated and expanded chapters.
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Volume 1: Principles and key algorithms, including genetic, swarm, gravitational, and other metaheuristic techniques; applications to power flow and economic dispatch considering renewable generation.
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Volume 2: Power distribution networks, covering power flow, voltage control and regulation, optimization of generation placement and sizing, and state estimation analysis.
Designed for researchers and advanced students in power system analysis and optimization, this reference provides a comprehensive overview of metaheuristic optimization approaches applied to contemporary power engineering challenges.
