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dc.contributor.authorManoharan, Arun Kaarthick
dc.contributor.authorHettiarachchige-Don, Anton C. Sameepa
dc.contributor.authorAravinthan, Visvakumar
dc.date.accessioned2019-08-17T19:55:35Z
dc.date.available2019-08-17T19:55:35Z
dc.date.issued2019
dc.identifier.citationA. Manoharan, A. Hettiarachchige-Don and V. Aravinthan, "Uncertainty Mitigation in Feeder Level Power Loss Reduction with Distributed Generation," 2019 IEEE Green Technologies Conference(GreenTech), Lafayette, LA, USA, 2019, pp. 1-4en_US
dc.identifier.isbn978-172811457-6
dc.identifier.issn2166-5478
dc.identifier.urihttps://doi.org/10.1109/GreenTech.2019.8767121
dc.identifier.urihttp://hdl.handle.net/10057/16515
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThe grid is moving towards a system of decentralized distributed generation using a large number of small scale renewable generation resources. These resources are stochastic in nature and therefore have to be continuously monitored and controlled for better system operation. This calls for an Information and Communication Technology (ICT) infrastructure that is able to provide continuous generation and load data. However, losses in communication is always possible. The work in this paper tries to come up with a DG control scheme that makes it possible for the system to make meaningful decisions even during communication losses. Proposed here is a feeder level loss minimization control scheme that uses a possibilistic approach to come up with DG set points in the absence of continuous system data.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesIEEE Green Technologies Conference(GreenTech);2019
dc.subjectDistribution Generationen_US
dc.subjectFuzzy optimizationen_US
dc.subjectPower loss reductionen_US
dc.subjectSmart Griden_US
dc.subjectUncertaintyen_US
dc.titleUncertainty mitigation in feeder level power loss reduction with distributed generationen_US
dc.typeConference paperen_US
dc.rights.holder© 2019 IEEEen_US


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