Multi-Objective TOU Pricing Optimization Using NSGA2 Based on Progressive Strategy

摘要

As an effective means to achieve peak load shifting, time-of-use (TOU) pricing should be a multi-objective optimization problem with multiple constraints that need to meet the interests of both supply and demand. Therefore, in this paper, non-dominated sorting generic algorithm 2 (NSGA2) is used to realize the optimization. Given that it is still probable for further peak load shifting after optimizing as well as the influence of customer satisfaction index (CSI), a progressive strategy is put forward. The simulation result shows that using NSGA2 can provide decision makers with more objective options than that of traditional methods, while the progressive strategy makes the peak load shifting work better.