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dc.contributor.authorZidan, Aboelsood A.
dc.contributor.authorShaaban, Mostafa
dc.contributor.authorEl-Saadany, Ehab
dc.date.accessioned2018-11-05T08:51:17Z
dc.date.available2018-11-05T08:51:17Z
dc.date.issued2016
dc.identifier.citationZidan, Aboelsood, Mostafa Shaaban, and Ehab F. El-Saadany. "Impacts of Feeder Reconfiguration on Renewable Resources Allocation in Balanced and Unbalanced Distribution Systems." Electric Power Components & Systems Journal 9, no. 9 (2016): 99.en_US
dc.identifier.issn1532-5016
dc.identifier.urihttp://hdl.handle.net/11073/16316
dc.description.abstractIn this article, network reconfiguration and distributed generation allocation in distribution networks are dealt with simultaneously while imposing an objective of minimizing energy loss. The proposed method, which is based on a genetic algorithm, takes into consideration the uncertainty related to renewable distributed generation output power and the load variability. Three scenarios are assessed to analyze the superiority of the proposed method. In the first scenario, distributed generation units are allocated using the base configuration, followed by network reconfiguration. In the second scenario, distributed generations are allocated after network reconfiguration. In the third scenario, distributed generations are allocated simultaneously with network reconfiguration. The constraints involved include voltage limits, line current limits, and radial topology. Both balanced and unbalanced distribution systems are used as case studies.en_US
dc.language.isoen_USen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofseriesElectric Power Components and Systemsen_US
dc.relation.urihttps://doi.org/10.1080/15325008.2016.1145763en_US
dc.subjectDistributed generationen_US
dc.subjectDistribution systemen_US
dc.subjectRenewableen_US
dc.subjectReconfigurationen_US
dc.subjectPlanningen_US
dc.titleImpacts of Feeder Reconfiguration on Renewable Resources Allocation in Balanced and Unbalanced Distribution Systemsen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/15325008.2016.1145763


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