89587 20230921135431.0 doi 10.1093/jcde/qwaa016 sideral 117615 ART-2020-117615 eng Lujano-Rojas, J.M. Universidad de Zaragoza (orcid)0000-0002-5801-0602 Embedding quasi-static time series within a genetic algorithm for stochastic optimization: the case of reactive power compensation on distribution systems 2020 Access copy available to the general public Unrestricted 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. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 5.86 2020 ENGINEERING, MULTIDISCIPLINARY 9 / 90 = 0.1 2020 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 16 / 111 = 0.144 2020 Q1 T1 0.764 2020 Computational Mathematics 2020 Q1 Computational Mechanics 2020 Q1 Modeling and Simulation 2020 Q1 Engineering (miscellaneous) 2020 Q1 Human-Computer Interaction 2020 Q1 Computer Graphics and Computer-Aided Design 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Zubi, G. Dufo-Lopez, R. Universidad de Zaragoza (orcid)0000-0002-1490-6423 Bernal-Agustin, J.L. Universidad de Zaragoza (orcid)0000-0003-2813-1240 Atencio-Guerra, J.L. Catalao, J.P.S. 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 7, 2 (2020), 177-194 J. comput. des. eng. Journal of computational design and engineering 2288-4300 408412 http://zaguan.unizar.es/record/89587/files/texto_completo.pdf Versión publicada 42615 http://zaguan.unizar.es/record/89587/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:89587 articulos driver 2023-09-21-13:30:22 ARTICLE