Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania
Permanent 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 use...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2021/6614129 |
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| author | Godiana Hagile Philipo Yusufu Abeid Chande Jande Thomas Kivevele |
| author_facet | Godiana Hagile Philipo Yusufu Abeid Chande Jande Thomas Kivevele |
| author_sort | Godiana Hagile Philipo |
| collection | DOAJ |
| description | Permanent 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. |
| format | Article |
| id | doaj-art-bdd4e8622ad040fe823862221bab9c78 |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-bdd4e8622ad040fe823862221bab9c782025-02-03T01:07:08ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2021-01-01202110.1155/2021/66141296614129Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, TanzaniaGodiana Hagile Philipo0Yusufu Abeid Chande Jande1Thomas Kivevele2Department of Materials and Energy Science and Engineering, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, TanzaniaDepartment of Materials and Energy Science and Engineering, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, TanzaniaDepartment of Materials and Energy Science and Engineering, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, TanzaniaPermanent 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.http://dx.doi.org/10.1155/2021/6614129 |
| spellingShingle | Godiana Hagile Philipo Yusufu Abeid Chande Jande Thomas Kivevele Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania Advances in Fuzzy Systems |
| title | Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania |
| title_full | Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania |
| title_fullStr | Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania |
| title_full_unstemmed | Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania |
| title_short | Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania |
| title_sort | clustering and fuzzy logic based demand side management for solar microgrid operation case study of ngurudoto microgrid arusha tanzania |
| url | http://dx.doi.org/10.1155/2021/6614129 |
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