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

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

Blog Article

Permanent electricity availability should not be taken for granted since grid SUPER TAMPON W APP 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 Modules 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.