Name: Metaheuristic Optimization in Power Engineering: Distribution Systems Using Matlab®-Based Software (Energy Engineering) (en Inglés)
SKU: 63041520
Price: 152.88 USD
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Author: Jordan Radosavljević

portada Metaheuristic Optimization in Power Engineering: Distribution Systems Using Matlab®-Based Software (Energy Engineering) (en Inglés)

Metaheuristic Optimization in Power Engineering: Distribution Systems Using Matlab®-Based Software (Energy Engineering) (en Inglés)

Formato

Libro Físico

Editorial

The Institution Of Engineering And Technology

Autor

Jordan Radosavljević

Idioma

Inglés

N° páginas

325

Encuadernación

Tapa Dura

ISBN13

9781837241316

N° edición

Metaheuristic Optimization in Power Engineering: Distribution Systems Using Matlab®-Based Software (Energy Engineering) (en Inglés)

Jordan Radosavljević (Autor) · The Institution Of Engineering And Technology · Tapa Dura

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Reseña del libro "Metaheuristic Optimization in Power Engineering: Distribution Systems Using Matlab®-Based Software (Energy Engineering) (en Inglés)"

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.