Book title: Metaheuristic Optimization in Power Engineering
Author: Jordan Radosavljevic
Product Code: PBPO1310
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A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, which can provide a sufficiently good solution to an optimization problem with incomplete or imperfect information. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation, are an important application for such methods.
This book describes the principles of solving various problems in power engineering via the application of selected metaheuristic optimization methods including genetic algorithms, particle swarm optimization, and the gravitational search algorithm. Applications covered include power flow calculation; optimal power flow in transmission networks; optimal reactive power dispatch in transmission networks; combined economic and emission dispatch; optimal power flow in distribution networks; optimal volt/var control in distribution networks; optimal placement and sizing of distributed generation in distribution networks; optimal energy and operation management of microgrids; optimal coordination of directional overcurrent relays; and steady-state analysis of self-excited induction generators.
Jordan Radosavljević is a Professor of Power Engineering at the Faculty of Technical Sciences of the University of Priština in Kosovska Mitrovica, Serbia. His research interests lie at the application of new metaheuristic optimization algorithms in solving various problems in power systems. He has authored or co-authored two books and several book chapters and papers in these topics.
This book is ideal for researchers in areas of power system analysis and power system optimization. It is also highly suited for advanced students of electrical engineering and power engineering; power system engineers.
This information is provisional and will be updated prior to publication
Chapter 1 - Overview of Metaheuristic Optimization
Chapter 2 - Overview of Genetic Algorithms
Chapter 3 - Overview of Particle Swarm Optimization
Chapter 4 - Overview of Gravitational Search Algorithm
Chapter 5 - Power Flow Calculation
Chapter 6 - Optimal Power Flow in Transmission Networks
Chapter 7 - Optimal Reactive Power Dispatch in Transmission Networks
Chapter 8 - Combined Economic and Emission Dispatch
Chapter 9 - Optimal Power Flow in Distribution Networks
Chapter 10 - Optimal Volt/Var Control in Distribution Networks
Chapter 11 - Optimal Placement and Sizing of Distributed Generation in Distribution Networks
Chapter 12 - Optimal Energy and Operation Management of Microgrids
Chapter 13 - Optimal Coordination of Directional Overcurrent Relays
Chapter 14 - Steady-State Analysis of Self-Excited Induction Generators