Optimal Demand Response Considering User’s Satisfaction Using a Multi-Objective Optimization Algorithm

With the fast development of power grids, residents’ demands for high quality of electricity utilization are increasing. Towards optimizing electricity consumption and user’s satisfaction, this paper presents a scheduling optimization approach for the operations of residential appliances. In order to figure out this challenging problem, first of all, an electricity demand model and a multi-objective optimization problem that includes electricity cost and user comfort are formulated. Then, a meta-heuristic multi-objective optimization approach is implemented to figure the problem out to obtain an optimal Pareto set. Different users can thus choose different optimal solutions to balance the electricity cost and comfort. Finally, the experimental results indicate that the proposed power scheduling method can greatly improve the comfort of residents while reducing electricity cost.