OPTIMAL INTEGRATION OF DISTRIBUTED GENERATION IN RADIAL DISTRIBUTION SYSTEM USING PARTICLE SWARM OPTIMIZATION TECHNIQUE

dc.contributor.authorKumar, M
dc.contributor.authorDas, B
dc.contributor.authorAli, S
dc.contributor.authorNallagownden, P
dc.date.accessioned2023-05-15T08:41:16Z
dc.date.available2023-05-15T08:41:16Z
dc.date.issued2018-09-01
dc.descriptionArticleen_US
dc.description.abstractFossil fuel depletion, electricity demand increment, and environmental degradation shift the power system network to adopt distributed generation (DG) at local distribution system. The optimal integration of distributed generation witnesses many benefits such as reduce power losses, increase voltage profile and stability of the system etc. However, the non-optimal integration may deteriorate the existing operation. Therefore, this paper presents the methodology to optimally integrate the distributed generation in the radial distribution system. The main aim is to reduce the power losses and improve the voltage profile using particle swarm optimization technique. The proposed technique is implied on benchmark IEEE 69 bus system. The proposed technique is also compared with many optimization algorithms. The overall results show that the proposed method gives better results as compared to other literature algorithms.en_US
dc.identifier.citationM. Kumar, B. Das ,P. Nallagownden ,I. Elamvazuthi ,OPTIMAL INTEGRATION OF DISTRIBUTED GENERATION IN RADIAL DISTRIBUTION SYSTEM USING PARTICLE SWARM OPTIMIZATION TECHNIQUE .Journal of Fundamental and Applied Sciences.VOL10 N03.01/09/2018.university of el oued [visited in ../../….]. available from [copy the link here]en_US
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/22912
dc.language.isoenen_US
dc.publisheruniversity of el oued/جامعة الواديen_US
dc.relation.ispartofseries1112-9867;
dc.subjectpower loss reduction; particle swarm optimization; distributed generationen_US
dc.titleOPTIMAL INTEGRATION OF DISTRIBUTED GENERATION IN RADIAL DISTRIBUTION SYSTEM USING PARTICLE SWARM OPTIMIZATION TECHNIQUEen_US
dc.typeArticleen_US

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