Metaheuristic Optimization in Power Engineering: 2 Volume Set
Institution of Engineering and Technology
978-1-83724-139-2 (ISBN)
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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, 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.
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 application of metaheuristic optimization algorithms. He was involved in international projects on energy markets, engineering education, and low carbon economy.
Volume 1
Chapter 1: Overview of metaheuristic optimization
Chapter 2: Genetic algorithms
Chapter 3: Particle swarm optimization
Chapter 4: Gravitational search algorithm
Chapter 5: Hybrid metaheuristic algorithms
Chapter 6: Applications to power system problems - literature overview
Chapter 7: Power flow calculation
Chapter 8: Optimal power flow
Chapter 9: Optimal power flow considering WT and PV generation
Chapter 10: Optimal reactive power dispatch
Chapter 11: Combined economic and emission dispatch
Chapter 12: Dynamic economic dispatch
Volume 2
Chapter 1: Power flow calculation in distribution networks
Chapter 2: Optimal power flow in distribution networks
Chapter 3: Multi-period optimal power flow in distribution networks
Chapter 4: Optimal Volt/Var control in distribution networks
Chapter 5: Voltage regulation in LV DNs with PV generation and BESS
Chapter 6: Optimal energy and operation management of microgrids
Chapter 7: Optimal placement and sizing of distributed generation
Chapter 8: Optimal placement and sizing of renewable-based distributed generation
Chapter 9: Optimal coordination of directional overcurrent relays
Chapter 10: Distribution system state estimation
Chapter 11: Steady-state analysis of self-excited induction generators
| Erscheint lt. Verlag | 1.11.2024 |
|---|---|
| Reihe/Serie | Energy Engineering |
| Verlagsort | Stevenage |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| ISBN-10 | 1-83724-139-2 / 1837241392 |
| ISBN-13 | 978-1-83724-139-2 / 9781837241392 |
| Zustand | Neuware |
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