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2017 | OriginalPaper | Buchkapitel

Flower Pollination Algorithm Applied to the Economic Dispatch Problem with Multiple Fuels and Valve Point Effect

verfasst von : Rafael Ochsendorf G. Souza, Ezequiel Silva Oliveira, Ivo Chaves Silva Junior, André Luís Marques Marcato, Marcos T. B. de Oliveira

Erschienen in: Progress in Artificial Intelligence

Verlag: Springer International Publishing

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Abstract

Due to the high importance of economic dispatch in planning and operating electric power systems, new methods have been researched to minimize the costs of power generation. To calculate these costs, the power generation of each thermal unit must be evaluated. When a thermal unit is modelled considering real world constraints, such as multiple fuels and valve point effect, traditional optimization methods are inefficient due to the nature of the cost function. This paper shows a study of a metaheuristic method, based on flower pollination to search for satisfactory results for economic dispatch. The results obtained are compared with results from other authors, with the purpose of evaluating how efficient the technique presented here is.

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Nächstes Kapitel Dynamic and Static Transmission Network Expansion Planning via Harmony Search and Branch & Bound on a Hybrid Algorithm

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Titel: Flower Pollination Algorithm Applied to the Economic Dispatch Problem with Multiple Fuels and Valve Point Effect
verfasst von: Rafael Ochsendorf G. Souza
Ezequiel Silva Oliveira
Ivo Chaves Silva Junior
André Luís Marques Marcato
Marcos T. B. de Oliveira
Verlag: Springer International Publishing
Buch: Progress in Artificial Intelligence
Print ISBN: 978-3-319-65339-6

Electronic ISBN: 978-3-319-65340-2

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-65340-2_22

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