摘要
随着可再生能源技术的飞速发展,风光互补分布式发电系统以其经济性和可靠性得到了越来越广泛的应用。文中提出了一种基于Multi-Agent的以能量管理为主要特征的分布式风光互补发电系统,将联合动作学习(JAL)模式作为多Agent的协作策略,并结合强化学习技术描述了多Agent协作学习的过程。以一个风光互补发电系统为例进行仿真,实验结果证明了这种方法的有效性。
With the power system has a wider development application. of renewable This paper energy proposes technology, a distributed the distributed wind-PV wind-PV power system based on Multi-Agent, whose main character is energy management, and describes the multi-agent cooperative reinforcement learning process using the joint action learning pattern as the cooperative strategy. The experiment of a distributed wind-PV power system shows the efficiency.
出处
《能源研究与利用》
2009年第1期26-29,共4页
Energy Research & Utilization
基金
国家自然科学基金重点项目(60534040)
