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dc.contributor.authorCharles, Julius Kilonzi
dc.contributor.authorOdero, Nicodemus Abungu
dc.date.accessioned2018-12-03T12:41:10Z
dc.date.available2018-12-03T12:41:10Z
dc.date.issued2013
dc.identifier.issn2250-3153
dc.identifier.urihttp://hdl.handle.net/123456780/2085
dc.description.abstractIn present times, the use of DG systems in large amounts in different power distribution systems has become very popular and is growing on with fast speed. Although it is considered that DG reduces losses and improves system voltage profile, this paper shows that this is not always true. The paper presents a GA-IPSO based approach which utilizes combined sensitivity factor analogy to optimally locate and size a multi-type DG in IEEE 57-bus test system with the aim of reducing power losses and improving the voltage profile. The multi-type DG can operate as; type 1 DG (DG generating real power only), type 2 DG (DG generating both real and active power) and type 3 DG (DG generating real power and absorbing reactive power). It further shows that though the system losses are reduced and the voltage profile improved with the location of the first DG, as the number of DGs increases this is not the case. It reaches a point where any further increase in number of DGs in the network results to an increase in power losses and a distortion in voltage profile.en_US
dc.language.isoen_USen_US
dc.publisherInternational Journal of Scientific and Research Publicationen_US
dc.subjectDistributed Generation (DG)en_US
dc.subjectParticle Swarm Optimization (PSO)en_US
dc.subjectGenetic Algorithm (GA)en_US
dc.subjectSystem loss reductionen_US
dc.subjectVoltage profile improvementen_US
dc.titleEffects of Distributed Generation penetration on system power losses and voltage profilesen_US
dc.typeArticleen_US


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