Furthermore, a comparative study of different intelligent algorithms for DR is discussed. Henceforth, this paper focuses on the limitations of intelligent algorithms for DR. However, these algorithms are computationally restrained to handle the parametric load of uncertainty involved with RERs and power system.
Therefore, intelligent algorithms are employed to achieve optimized DR.
This categorization needs to be optimized to balance the supply and demand in DN. Furthermore, control techniques, decision variables and offered motivations are the ways to introduce DR into distribution network (DN). Moreover, the effective utilization of RERs to fulfill the varying electricity demands of customers can be achieved via demand response (DR). In view of scarcity of traditional energy resources and environmental issues, renewable energy resources (RERs) are introduced to fulfill the electricity requirement of growing world.
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