Algorithms For Operation Planning Of Electric Distribution Networks

dc.creatorAraujo R.A.
dc.creatorMeira P.C.M.
dc.creatorDe Almeida M.C.
dc.date2013
dc.date2015-06-25T19:11:05Z
dc.date2015-11-26T15:08:35Z
dc.date2015-06-25T19:11:05Z
dc.date2015-11-26T15:08:35Z
dc.date.accessioned2018-03-28T22:18:57Z
dc.date.available2018-03-28T22:18:57Z
dc.identifier
dc.identifierJournal Of Control, Automation And Electrical Systems. , v. 24, n. 3, p. 377 - 387, 2013.
dc.identifier21953880
dc.identifier10.1007/s40313-013-0018-1
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84879344523&partnerID=40&md5=b1a8bc1dbd642acb514cc221e20f571e
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/88599
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/88599
dc.identifier2-s2.0-84879344523
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1257693
dc.descriptionIn this paper, two algorithms for solving the problem of operation planning of electric power distribution systems are presented. This problem consists in defining the values of a set of continuous and discrete control variables to obtain better system performance. Given the large number of possible combinations of the settings of the control variables, the problem presents combinatorial explosion. To work around it, two procedures are proposed. In the first one, the genetic algorithm developed by Chu and Beasley (GACB) is used with a special mechanism of creation of the initial population. In the second procedure, a simplified algorithm which is capable of obtaining good quality solutions at a much lower computational time complexity than GACB is proposed. The results for the 34- and 70-bus IEEE test systems show that the proposed algorithms are promising. © 2013 Brazilian Society for Automatics - SBA.
dc.description24
dc.description3
dc.description377
dc.description387
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dc.languageen
dc.publisher
dc.relationJournal of Control, Automation and Electrical Systems
dc.rightsfechado
dc.sourceScopus
dc.titleAlgorithms For Operation Planning Of Electric Distribution Networks
dc.typeArtículos de revistas


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