Optimizing Power Demand Side Response Strategy: A Study Based on Double Master–Slave Game Model of Multi-Objective Multi-Universe Optimization

In the pilot provinces of China’s electricity spot market, power generation companies usually adopt separate bidding mode, which leads to a low willingness demand-side response and poor flexibility in interaction mechanism between supply demand. Based on analysis demand day-ahead market with participation sales companies, this paper abstracted game process “power grid-sales company-users” tripartite competition environment into two-layer (purchase layer/sales layer) model proposed master–slave equilibrium optimization strategy for under game. The multi-objective multi-universe algorithm was used find Pareto optimal solution model, comprehensive evaluation constructed, determined considering peak cutting valley filling quantity grid, profit retailers, cost consumers, comfort degree. Examples are given simulate participated by analyze compare benefits each entity participating response, verify effectiveness model.