Metaheuristics are high-level optimization methods designed to provide effective solutions to complex problems where information is incomplete or computation resources are limited. They often achieve high-quality results with less computational effort than conventional algorithms. With the increasing complexity of modern power systems—driven by distributed and intermittent renewable generation and the rapid growth of electric vehicle charging—metaheuristic approaches are proving invaluable.
This thoroughly updated second edition, presented in two volumes, introduces a MATLAB-based software package for testing and comparing methods, along with several substantially revised and expanded chapters.
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Volume 1: Covers the principles and foundations of metaheuristics, including genetic algorithms, swarm intelligence, gravitational and other advanced approaches, with applications in power flow and economic dispatch under renewable integration.
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Volume 2: Focuses on distribution networks, addressing power flow, voltage control and regulation, optimal placement and sizing of distributed generation, and state estimation analysis.
Providing both theoretical foundations and practical applications, this reference is an essential resource for researchers, engineers, and advanced students in power system analysis, control, and optimization.
