Abstract
The concept of demand side management (DSM) must be emphasized in the current era, foreseeing the drastic escalation of energy demand and depleting fossil fuels. DSM ensures effective facility utilization by controlling clients' energy resources and carefully adjusting their energy demand profiles. In this study, the day-ahead load-shifting DSM technique is modeled as a minimization problem to achieve better load profile. The whale optimization algorithm (WOA) is provided for resolving the DSM optimization problem. The proposed work has been tested on three demand zones with various controllable loads: residential, commercial, and industrial. With the suggested WOA method, a comparison analysis based on peak demand and operational expenses was made. Finally, it is demonstrated that in the different load sectors, the DSM strategy based on the WOA technique provides better cost savings and also helps in achieving flat load profile while reducing peak to average ratio (PAR).
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