Decision-Making Scheme for Orderly Power Usage Based on Multi-Objective Particle Swarm Optimization

After deeply analyzing the importance of orderly power management and its macro-objectives, this paper aims to integrate the concepts of demand-side management and demand response to further clarify the necessity of implementing an intelligent decision-making scheme for orderly power consumption. In this paper, two objective functions are set up, which are to improve the load rate and energy efficiency, and multi-objective particle swarm optimization is applied to the above two functions to make a comprehensive evaluation of the decision-making scheme for the orderly use of electricity, and compared with the results and schemes of single-objective optimization for the above two objectives. The results show that the decision-making scheme for orderly electricity use through multi-objective particle swarm optimization is more flexible and more in line with the actual requirements, realizing the peak shaving and valley filling of the load curve, and with the change of the curves of load rate and energy efficiency with the change of curtailment, the change trend is in line with the actual situation.