Research on Optimization of User Side Benefit in Smart Grid Based on Game Theory

作者：Erzhen Shang, Yang Gao, Li Yang, Yilin Jia, Pukun Lu, Guoqiang Zhu, Xiuyu Zhang · 发表于：2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) · 年份：2022 · DOI：10.1109/itoec53115.2022.9734592 · 被引用次数：2 · 研究领域：Smart Grid and Power Systems、Power Systems and Renewable Energy、Power Systems and Technologies

A novel loads adjusting method based on game theory has been proposed for peak load cutting and valley filling applications. The loads model, the benefits of the power consumers model, and the benefits of the grid model are established by regarding the power consumers and the grid side as the main game players. To combat imbalances in the relationship of the consumer side and the grid side. The strategy of the price regulation based on the game theory is designed and adjusting the benefits of the main game players dynamically throughout the process. Then with considering the constraint conditions of loads and price, compute the result of the benefits and the load regulation by the Cplex solver. The simulation result has verified the electricity price forecasting method can reduce the difference between peak-valley loads effectively and ensure the benefits of the consumer side.