Modeling multiple-criteria decision making of the electrical grid considering optimal demand management

This study presents the day-ahead operation of a smart residential distribution electrical grid as a multiple-criteria decision-making modeling. The multiple-criteria decision-making modeling is implemented from view point of the grid's operator for optimization of the energy consumption costs, power losses and demand side comfort. The operation of the residential distribution electrical grid is modeled based on the enhancing penetration of the renewable energies with implementation of the demand management strategies. Modeling the penetration of the renewable energies is presented based on the adaptation of deferrable loads with renewable energies output using load shifting approach. In addition, load interruption approach is proposed for demand clipping considering electricity pricing in peak hours. The multiple-criteria decision-making process by improved epsilon-constraint and TOPSIS approach are handled for confirmation of the optimization approach. The day-ahead energy scheduling is applied on the 33-bus distribution network to investigate the effectiveness of the system considering obtained results from mathematical modeling and demand management strategies.