Optimal Regulation of ‘Source-Grid-Load-Storage’ Interaction Based on State Based Potential Game

Abstract

Under the new power system, the traditional source-follow-load model has changed. With the access of high penetration of renewable energy, more flexible resources need to be explored from the source-side grid side and load side to increase the consumption of renewable energy. Therefore, the optimization of ‘source-grid-load-storage (SGLS)’ interaction is a hot topic of current research. Because of the different interests belonging to different parties and their willingness to participate, the adoption of a centralized algorithm cannot coordinate the interests of all parties well. The state based potential game (SPG) method can coordinate the consistency of individual interests and subject interests, and has higher solution accuracy and solution efficiency compared with the general potential game (PG). Therefore, this article designs the SGLS interaction optimization model as a SPG problem, solves it using a distributed algorithm, and verifies the effectiveness of the proposed method through simulation.