Distributed Slack Bus Model for a Wind-Based Distributed Generation using Combined Participation Factors

dc.contributor.authorMoses, Peter Musau
dc.contributor.authorOdero, Nicodemus Abungu
dc.date.accessioned2018-12-03T11:25:13Z
dc.date.available2018-12-03T11:25:13Z
dc.date.issued2012
dc.description.abstractWith the increased penetration of distributed generation into the power distribution system, the traditional load flow analysis that assumes a single slack bus has become impractical. The existing literature focuses on slack bus placement taking only real power losses into place.However with increasing need of reactive power in maintaining voltage stability at the consumer end; reactive power generation management cannot be ignored any further. Thus a distributed slack bus model taking into consideration both real and reactive power losses is of paramount importance. The wind based doubly fed induction generator is an attractive option for both real and reactive power loss compensation since it is economically attractive, can be grid connected and it has the capability to generate and absorb reactive power. A distributed slack bus model using combined participation factors is developed in this paper to distribute the slack(real and reactive power losses).The combined participation factors are formulated using the method of Lagrange multipliers and the distributed slack bus model employs a Genetic Algorithm of a Newton Raphson Solveren_US
dc.identifier.issn2250-2459
dc.identifier.urihttp://ir.mksu.ac.ke/bitstream/handle/123456780/2081/ijetae_1012_80.pdf?sequence=1&isAllowed=y
dc.language.isoen_USen_US
dc.publisherInternational Journal of Emerging Technology and Advanced Engineeringen_US
dc.subjectCombined participation factorsen_US
dc.subjectDistribution Systemen_US
dc.subjectDistributed generators (DGs)en_US
dc.subjectDoubly fed induction generator (DFIG)en_US
dc.subjectParticipation factorsen_US
dc.titleDistributed Slack Bus Model for a Wind-Based Distributed Generation using Combined Participation Factorsen_US
dc.typeArticleen_US

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