Embedding quasi-static time series within a genetic algorithm for stochastic optimization: the case of reactive power compensation on distribution systems

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Lujano Rojas, JM (Autor) Outra; Zubi, G (Autor) Outra; Dufo Lopez, R (Autor) Outra; Bernal Agustin, JL (Autor) Outra; Atencio Guerra, JL (Autor) Outra; Catalao, JPS (Autor) FEUP

Revista

Título: Journal of Computational Design and Engineering

Vol. 7

Páginas: 177-194

ISSN: 2288-4300

Editora: Oxford University Press

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00S-369

DOI: 10.1093/jcde/qwaa016

Abstract (EN): This paper presents a methodology for the optimal placement and sizing of reactive power compensation devices in a distribution system (DS) with distributed generation. Quasi-static time series is embedded in an optimization method based on a genetic algorithm to adequately represent the uncertainty introduced by solar photovoltaic generation and electricity demand and its effect on DS operation. From the analysis of a typical DS, the reactive power compensation rating power results in an increment of 24.9% when compared to the classical genetic algorithm model. However, the incorporation of quasi-static time series analysis entails an increase of 26.8% on the computational time required.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 18