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Smart Grid Effectiveness with the Implementation of Fuzzy Logic

Ismail H Altas, Recep Ãƒâ€¡akmak
Karadeniz Technical University, 61080 Trabzon, Turkey., GÃƒÂ¼mÃƒÂ¼shane University, GÃƒÂ¼mÃƒÂ¼shane, Turkey

Abstract: Smart grids are extensively addressed in research as they solve numerous issues in the current grids. Using computational intelligence, we have advocated a smart grid which can react in the artificial intelligence environment. In this situation fuzzy logic based control systems can support smart grids. Thus a large number of research fuzzy logic and fuzzy decisions use smart grids for automated management. In the current work we have advocated a fuzzy based decision making system to manage of timeshiftable loads in the residences. The proposed fuzzy decision maker determines optimal starting time of time-shiftable loads in the residential area in order to provide advanced power curve and decrease peak load consumption's by scheduling of these loads. Besides, we have highlighted the design stage of the proposed fuzzy decision maker and described it. During testing we have a simulation of the decision outcome to confirm the new design.

Keywords: Fuzzy Logic, Fuzzy Decision Maker, Demand Side Management, Load Scheduling Smart Grid Effectiveness with the Implementation of Fuzzy Logic

DOI:https://doi.org/10.6025/jitr/2021/12/3/59-67

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