Defects location in power systems components through a dedicated genetic algorithm

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorLeão, Fábio Bertequini
dc.creatorDa Silva, Luis Gustavo Wesz
dc.creatorMantovani, José Roberto Sanches
dc.date2014-05-27T11:21:12Z
dc.date2016-10-25T18:20:06Z
dc.date2014-05-27T11:21:12Z
dc.date2016-10-25T18:20:06Z
dc.date2004-12-01
dc.date.accessioned2017-04-06T01:11:04Z
dc.date.available2017-04-06T01:11:04Z
dc.identifier2004 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, p. 57-62.
dc.identifierhttp://hdl.handle.net/11449/67974
dc.identifierhttp://acervodigital.unesp.br/handle/11449/67974
dc.identifier10.1109/TDC.2004.1432351
dc.identifierWOS:000228358400011
dc.identifier2-s2.0-22744447294
dc.identifierhttp://dx.doi.org/10.1109/TDC.2004.1432351
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/889358
dc.descriptionIn this work the problem of defects location in power systems is formulated through a binary linear programming (BLP) model based on alarms historical database of control and protection devices from the system control center, sets theory of minimal coverage (AI) and protection philosophy adopted by the electric utility. In this model, circuit breaker operations are compared to their expected states in a strictly mathematical manner. For solving this BLP problem, which presents a great number of decision variables, a dedicated Genetic Algorithm (GA), is proposed. Control parameters of the GA, such as crossing over and mutation rates, population size, iterations number and population diversification, are calibrated in order to obtain efficiency and robustness. Results for a test system found in literature, are presented and discussed. © 2004 IEEE.
dc.languageeng
dc.relation2004 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGenetic algorithms
dc.subjectPower systems protection
dc.subjectDefects
dc.subjectElectric fault location
dc.subjectElectric relays
dc.subjectElectric utilities
dc.subjectLinear programming
dc.subjectProblem solving
dc.subjectRobustness (control systems)
dc.subjectAlarm messages
dc.subjectBinary linear programming (BLP)
dc.subjectDecision variables
dc.subjectElectric power systems
dc.titleDefects location in power systems components through a dedicated genetic algorithm
dc.typeOtro


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