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000089587 005__ 20230921135431.0
000089587 0247_ $$2doi$$a10.1093/jcde/qwaa016
000089587 0248_ $$2sideral$$a117615
000089587 037__ $$aART-2020-117615
000089587 041__ $$aeng
000089587 100__ $$0(orcid)0000-0002-5801-0602$$aLujano-Rojas, J.M.$$uUniversidad de Zaragoza
000089587 245__ $$aEmbedding quasi-static time series within a genetic algorithm for stochastic optimization: the case of reactive power compensation on distribution systems
000089587 260__ $$c2020
000089587 5060_ $$aAccess copy available to the general public$$fUnrestricted
000089587 5203_ $$aThis 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.
000089587 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000089587 590__ $$a5.86$$b2020
000089587 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b9 / 90 = 0.1$$c2020$$dQ1$$eT1
000089587 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b16 / 111 = 0.144$$c2020$$dQ1$$eT1
000089587 592__ $$a0.764$$b2020
000089587 593__ $$aComputational Mathematics$$c2020$$dQ1
000089587 593__ $$aComputational Mechanics$$c2020$$dQ1
000089587 593__ $$aModeling and Simulation$$c2020$$dQ1
000089587 593__ $$aEngineering (miscellaneous)$$c2020$$dQ1
000089587 593__ $$aHuman-Computer Interaction$$c2020$$dQ1
000089587 593__ $$aComputer Graphics and Computer-Aided Design$$c2020$$dQ1
000089587 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000089587 700__ $$aZubi, G.
000089587 700__ $$0(orcid)0000-0002-1490-6423$$aDufo-Lopez, R.$$uUniversidad de Zaragoza
000089587 700__ $$0(orcid)0000-0003-2813-1240$$aBernal-Agustin, J.L.$$uUniversidad de Zaragoza
000089587 700__ $$aAtencio-Guerra, J.L.
000089587 700__ $$aCatalao, J.P.S.
000089587 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000089587 773__ $$g7, 2 (2020), 177-194$$pJ. comput. des. eng.$$tJournal of computational design and engineering$$x2288-4300
000089587 8564_ $$s408412$$uhttps://zaguan.unizar.es/record/89587/files/texto_completo.pdf$$yVersión publicada
000089587 8564_ $$s42615$$uhttps://zaguan.unizar.es/record/89587/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000089587 909CO $$ooai:zaguan.unizar.es:89587$$particulos$$pdriver
000089587 951__ $$a2023-09-21-13:30:22
000089587 980__ $$aARTICLE