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文章摘要
基于CEQ(λ)强化学习算法的微电网智能发电控制
Smart generation control for islanded micro-grids based on correlated equilibrium Q(λ) learning algorithm
Received:October 29, 2015  Revised:March 23, 2016
DOI:
中文关键词: 多智能体  相关均衡  强化学习  微电网  智能发电控制
英文关键词: multi-agent, correlated equilibrium, reinforcement  learning, micro-grid, smart generation control
基金项目:中国南方电网科技项目资助(02DKHK1200059);国家自然科学基金项目(51177051).
Author NameAffiliationE-mail
Tang Jie Shaoguan Power Supply Bureau tangjiedavid@163.com 
Zhang Zeyu College of Electric Power,South China University of Technology zyzhang1991@gmail.com 
Cheng Lefeng* College of Electric Power,South China University of Technology chenglf_scut@163.com 
Zhang Xiaoshun College of Electric Power,South China University of Technology xszhang1990@sina.cn 
Yu Tao College of Electric Power,South China University of Technology taoyu1@scut.edu.cn 
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中文摘要:
      针对微电网孤岛运行模式下新能源发电强随机性导致的系统频率波动,本文提出了基于多智能体相关均衡强化学习(Correlated Equilibrium Q(λ), CEQ(λ))的微电网智能发电控制方法。在所搭建含有光伏发电、风力发电、小水电、微型燃气轮机和飞轮储能的微电网负荷频率控制(Load frequency Control, LFC)模型基础上,以频率偏差作为状态输入,提出了一种微电网孤岛运行模式下的CEQ(λ)智能发电控制器。仿真结果显示,与PI控制、单智能体R(?)控制相比,CEQ(λ)控制器具有更好的在线学习能力,能显著增强孤岛微电网的鲁棒性和适应性,有效提高了频率的考核合格率。
英文摘要:
      This paper, to address frequency fluctuate problem of the islanded micro-grid caused by strong randomness of renewable energy, proposes a smart generation control method of micro-grid based on multi-agent correlated equilibrium Q(λ). After establishing the micro-grid load frequency control (LFC) model containing photovoltaic generation, wind turbine, 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. Simulation analysis, compared with PI controller, R(λ) learning controller, shows that correlated equilibrium controller has better pre-learning ability, and enhances robustness and adaptability of islanded micro-grid remarkably and improves the frequency assessment pass rate effectively.
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