Embedding quasi-static time series within a genetic algorithm for stochastic optimization: the case of reactive power compensation on distribution systems
Resumen: 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: Inglés
DOI: 10.1093/jcde/qwaa016
Año: 2020
Publicado en: Journal of computational design and engineering 7, 2 (2020), 177-194
ISSN: 2288-4300

Factor impacto JCR: 5.86 (2020)
Categ. JCR: ENGINEERING, MULTIDISCIPLINARY rank: 9 / 90 = 0.1 (2020) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 16 / 111 = 0.144 (2020) - Q1 - T1

Factor impacto SCIMAGO: 0.764 - Computational Mathematics (Q1) - Computational Mechanics (Q1) - Modeling and Simulation (Q1) - Engineering (miscellaneous) (Q1) - Human-Computer Interaction (Q1) - Computer Graphics and Computer-Aided Design (Q1)

Tipo y forma: Article (Published version)
Área (Departamento): Área Ingeniería Eléctrica (Dpto. Ingeniería Eléctrica)

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 Record created 2020-06-09, last modified 2023-09-21

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