Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods

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