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dc.contributor.authorKilonzi, Julius Charles
dc.contributor.authorOdero, Nicodemus Abungu
dc.date.accessioned2018-12-04T07:03:56Z
dc.date.available2018-12-04T07:03:56Z
dc.date.issued2013
dc.identifier.issn2319-5665
dc.identifier.urihttp://ir.mksu.ac.ke/handle/123456780/2095
dc.description.abstractThough several algorithms for optimizing DG location and size in a network with the aim of reducing system power losses and enhancing better voltage profile have already been proposed, they still suffer from several drawbacks. As a result much can be done in coming up with new algorithms or improving the already existing ones so as to address this important issue more efficiently and effectively. Majority of the proposed algorithms have emphasized on real power losses only in their formulations. They have ignored the reactive power losses which is key in the operation of power systems. In modern practical power systems reactive power injection plays a critical role in voltage stability control, thus the reactive power losses need to be incorporated in optimizing DG allocation for voltage profile improvement. The results of the few works which have considered reactive power losses in their optimization can be improved by using more recent and accurate algorithms. This research work aimed at solving this problem by proposing a hybrid of GA and IPSO to optimize DG location and size while considering both real and reactive power losses. Both real and reactive power flow and power loss sensitivity factors were utilized in identifying the candidate buses for DG allocation. This reduced the search space for the algorithm and increasing its rate of convergence. This research considers a multi-type DG; 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).en_US
dc.language.isoen_USen_US
dc.publisherInternational Journal of Innovative Research in Engineering & Scienceen_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.titleA combined sensitivity factor based GA-IPSO approach for system loss reduction and voltage profile enhancementen_US
dc.typeArticleen_US


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