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NEXT > J. Radosavljević - Metaheuristic Optimization in Power Engineering. Volume 1 J. Radosavljević - Metaheuristic Optimization in Power Engineering. Volume 2 B. Badrzadeh - Power System Dynamic Modelling and Analysis in Evolving Networks P. Schavemaker - Electrical Power System Essentials A. von Meier - Electric Power Systems: A Conceptual Introduction G. Rogers - Power System Oscillations G. Rigatos - Intelligent Control for Electric Power Systems and Electric Vehicles R. Castro - Engineering of Power Systems Economics M. Rahmani-Andebili - Power System Analysis: Comprehensive Lessons M.G. Simões - Power Electronic Converters and Systems: Converters and machine drives
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J. Radosavljević - Metaheuristic Optimization in Power Engineering. Volume 2 Metaheuristic Optimization in Power Engineering. Volume 2: Distribution systems using MATLAB®-based software (2nd Edition) by Jordan Radosavljević Published in 2024 325 pages ISBN: 9781837241316 e-ISBN: 9781837241323  A metaheuristic is a higher-level procedure designed to find, generate, or select a heuristic or partial search algorithm that may provide a sufficiently good solution to an optimization problem with incomplete or imperfect information or limited computation capacity. Metaheuristics can often find good solutions with less computational effort than other algorithms. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation and EV charging, are an application for such methods. The new edition of Metaheuristic Optimization in Power Engineering in two volumes uses a MATLAB-based software package for testing and comparing methods, and includes several new and substantially revised and updated chapters. Volume 1 covers principles and key algorithms, such as genetic and swarm algorithms, gravitational and metaheuristic algorithms, power flow and power dispatch under consideration of renewable generation. Volume 2 focuses on power distribution networks, including power flow, voltage control and regulation, optimisation of generation placement and sizing, and state estimation analysis. This reference for researchers and advanced students working on power system analysis and optimization offers an overview of metaheuristic optimization approaches to solving problems in modern power systems. About the Author Jordan Radosavljević is professor at and dean of the Faculty of Technical Sciences of the University of Priština in Kosovska Mitrovica, Serbia. His research interests include power system analysis and control, power system optimization with renewable energy and distributed generation, and the application of metaheuristic optimization algorithms. He was involved in international projects on energy markets, engineering education, and low carbon economy. Chapters Front Matter p. i–xvii (18) Power flow calculation in distribution networks p. 1–17 (17) Optimal power flow in distribution networks p. 19–51 (33) Multi-period optimal power flow in distribution networks p. 53–79 (27) Optimal Volt/Var control in distribution networks p. 81–107 (27) Voltage regulation in LV DNs with PV generation and BESS p. 109–129 (21) Optimal energy and operation management of microgrids p. 131–151 (21) Optimal placement and sizing of distributed generation p. 153–188 (36) Optimal placement and sizing of renewable-based distributed generation p. 189–212 (24) Optimal coordination of directional overcurrent relays p. 213–238 (26) Distribution system state estimation p. 239–263 (25) Steady-state analysis of self-excited induction generators p. 265–295 (31) Back Matter p. 297–305 (10) 
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