电测与仪表2017，Vol.54Issue(1)：39-45,7.
基于CEQ(λ)强化学习算法的微电网智能发电控制
Smart generation control for micro-grids based on correlated equilibrium Q(λ) learning algorithm
摘要
Abstract
In view of addressing frequency fluctuation problem of the islanded micro-grid caused by strong randomness of renewable energy , this paper proposes a smart generation control method of micro-grid based on multi-agent correla-ted equilibrium Q(λ).After establishing the micro-grid load frequency control (LFC) model containing photovoltaic generation , wind generation , small hydro unit , micro-gas turbine and flywheel energy storage , which takes frequency deviation as the input , a smart generation controller based on correlated equilibrium Q (λ) has been proposed .Simu-lation analysis , compared with PI controller , R (λ) learning controller , shows that correlated equilibrium controller has better online learning ability , and enhances robustness and adaptability of islanded micro-grid remarkably and im-proves the pass rate of frequency assessment effectively .关键词
多智能体/相关均衡/强化学习/微电网/智能发电控制Key words
multi-agent/correlated equilibrium/reinforcement learning/micro-grid/smart generation control分类
信息技术与安全科学引用本文复制引用
唐捷,张泽宇,程乐峰,张孝顺,余涛..基于CEQ(λ)强化学习算法的微电网智能发电控制[J].电测与仪表,2017,54(1):39-45,7.基金项目
国家自然科学基金资助项目(51177051) （51177051）
中国南方电网科技项目资助(02DKHK1200059) （02DKHK1200059）
