Decentralized Reinforcement Learning Collaborative Consensus Algorithm for Generation Dispatch in Virtual Generation Tribe

摘要：

　　The article proposes a distributed reinforcement learning collaborative consensus algorithm for dynamic generation command dispatch of AGC in interconnected power grids under the framework of the virtual power generation tribes,in order to in response to the development of the EMS system in the Smart Grid from centralization to decentralized form.The simulation results of the Guangdong Grid show that: the algorithm can not only enhance the adaptive and dynamic performance of the system but also can reduce the adjustment cost as well as realizing the optimal allocation of automatic generation control.

关键词： virtual power tribes collaborative reinforcement learning stochastic optimization AGC decentralized autonomous

作者: LI Qing ZHANG Xiaoshun PAN Zhenning TAN Min GUO Lexin YU Tao LIU Qianjin FENG Yongkun

作者单位: School of Electric Power, South China University of Technology Guangzhou, China Hunan Electric Power Transmission Construction Company Changsha, China

会议类型: 国际会议

会议名称: 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference(IAEAC 2015)(2015 IEEE先进信息技术,电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1197-1201

在线出版日期: 2015-12-19（万方平台首次上网日期，不代表论文的发表时间）