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)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


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


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