Matching electric power demand with wind-generated electric power - An intelligent fuzzy logic-based demand-side management strategy

1997 ◽  
Author(s):  
M. Nehrir ◽  
G. Venkataramanan ◽  
V. Gerez ◽  
W. Kellogg ◽  
C. Good ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Electric Power ◽  
Management Strategy ◽  
Demand Side Management ◽  
Power Demand ◽  
Demand Side

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

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Godiana Hagile Philipo ◽  
Yusufu Abeid Chande Jande ◽  
Thomas Kivevele
Keyword(s):  
Fuzzy Logic ◽  
Management Strategy ◽  
Clustering Algorithm ◽  
Supply And Demand ◽  
Power Saving ◽  
Demand Side Management ◽  
Energy Utilization ◽  
Demand Side ◽  
Energy Management Strategy

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.

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