Metaheuristic Optimization in Power Engineering Algorithms and power dispatch using MATLAB®-based software

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 g...

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Hlavní autor: Radosavljevic, Jordan
Médium: E-kniha
Jazyk:angličtina
Vydáno: Stevenage The Institution of Engineering and Technology 2024
Institution of Engineering and Technology
Vydání:2
Edice:Energy Engineering
Témata:
Energy industries
Engineering mathematics
Mathematical optimization
Power Resources
TECHNOLOGY & ENGINEERING
gravitational algorithms
power flow
power system optimisation
swarm algorithms
clean energy
genetic algorithms
green energy
renewable power
renewable energy
smart grids
power dispatch
power systems
power system control
distributed energy
power grids
metaheuristic algorithms
ISBN:1837241376, 9781837241378
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Shrnutí: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.
ISBN:1837241376
9781837241378
DOI:10.1049/PBPO274F