共享储能模式下多微电网博弈优化方法

Optimization of Multi Microgrid Game Method Under Shared Energy Storage Mode

储能的高投资成本是限制其商业化发展的主要障碍,通过储能聚合商协调储能设备运行,提高储能的利用率并降低成本。首先,综合考虑了微电网中的火电机组、充电站、可中断负荷等可调节灵活性资源的成本以及共享储能的费用分摊,以各方效益最大化为目标,构建了各微电网与共享储能聚合商的博弈优化运行模型。其次,采用了多智能体强化学习方法求解多主体下博弈问题,引入KL散度优化智能体的学习率,提高算法的收敛性。最后,以3个相邻微电网的算例分析,共享储能模式下提升了各主体的经济效益,验证了共享储能模式的优越性与算法改进的有效性。

The high investment cost of energy storage is the main obstacle to its commercial development.Through the energy storage aggregators to coordinate the operation of energy storage equipment, the utilization rate of energy storage is improved and the cost is reduced.Firstly, the cost of adjustable flexible resources such as thermal power units, charging stations and interruptible loads in microgrid and the cost sharing of shared energy storage are comprehensively considered.Aiming at maximizing the benefits of all parties, the game optimization operation model between microgrid and shared energy storage aggregator is constructed.Secondly, the Multi-Agent Reinforcement learning method is used to solve the multi-agent game problem, and KL divergence is introduced to optimize the agent learning rate and improve the convergence of the algorithm.Finally, taking three adjacent microgrids as examples, the economic benefits of each subject are improved under the shared energy storage mode, which verifies the superiority of the mode and the effectiveness of the algorithm improvement.