Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania

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dc.creatorPhilipo, Godiana Hagile
dc.creatorJande, Yusufu A.
dc.creatorKivevele, Thomas T.
dc.date2021-03-04T07:37:47Z
dc.date2021-03-04T07:37:47Z
dc.date2021-02-15
dc.date.accessioned2022-10-25T09:24:35Z
dc.date.available2022-10-25T09:24:35Z
dc.descriptionThis research article published Hindawi
dc.descriptionPermanent electricity availability should not be taken for granted since grid sustainability and reliability are at stake when there is no balance between supply and demand. This paper employs a load balancing demand-side management (DSM) approach based on fuzzy logic, considering the low energy users who have insignificant influence on system peaks. Through the K-means clustering algorithm, suitable candidates for DSM are identified, and the control mechanism is based on energy utilization and load priority. The results reveal that about 3.7 kW in power saving was achieved per month. This result indicates that, with a proper energy management strategy for an individual customer, almost a flatter load profile and power saving can be achieved.
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dc.identifierhttps://doi.org/10.1155/2021/6614129
dc.identifierhttps://dspace.nm-aist.ac.tz/handle/20.500.12479/1137
dc.identifier.urihttp://hdl.handle.net/123456789/95595
dc.languageen
dc.publisherHindawi
dc.subjectResearch Subject Categories::NATURAL SCIENCES
dc.titleClustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania
dc.typeArticle

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