微网控制系统中多AgentQ学习算法的研究

本文首先介绍了微网控制系统的多Agent结构以及各Agent的工作流程，然后提出了应用于微网控制系统的多Agent结构的协作学习算法，该算法在Q学习算法的基础上进行了改进，使之适用于混合环境中。最后将IEEE9节点系统作为微网模拟系统并在其中进行了仿真，结果显示该算法可以在微网功率发生波动时快速地使功率恢复到稳定状态。

Research on Q-learning Algorithm of Multi-agent in Micro-grid Control System

This paper describes the structtn＇e of micro-grid control system firstly as well as the workflow of multi-agents, and then proposed a collaborative learning algorithm which is improved based on Q-learning algorithm used in the structure of multi-agent in micro- grid control system, to make it suitable for agent learning in the mixed environments. Finally, we make a simulation experiment in a micro- grid system in which IEEE 9 bus system is as a basic framework and the results show that the algorithm can restore the power to the steady state rapidly when the power fluctuates.