Name: Metaheuristic Optimization in Power Engineering (Energy Engineering) (en Inglés)
Price: 198080.00 CLP
Availability: InStock
Author: Radosavljevic, Jordan
ISBN: 9781785615467

portada Metaheuristic Optimization in Power Engineering (Energy Engineering) (en Inglés)

Formato

Libro Físico

Autor

Jordan Radosavljevic

Editorial

Institution of Engineering & Technology

Año

2018

Idioma

Inglés

N° páginas

536

Encuadernación

Tapa Dura

Dimensiones

23.9 x 16.3 x 3.0 cm

Peso

0.95 kg.

ISBN13

9781785615467

Categorías

Ingeniería eléctrica
Generación, distribución y almacenamiento de energía

Metaheuristic Optimization in Power Engineering (Energy Engineering) (en Inglés)

Jordan Radosavljevic (Autor) · Institution of Engineering & Technology · Tapa Dura

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Metaheuristic Optimization in Power Engineering (Energy Engineering) (en Inglés)"

A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, that 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.