文章摘要
席磊,柳浪,黄悦华,等.基于虚拟狼群策略的分层分布式自动发电控制[J].电力系统自动化. DOI: 10.7500/AEPS20180104010.
XI Lei,LIU Lang,HUANG Yuehua, et al.Virtual Wolf Pack Strategy Based Hierarchical and Distributed Control Method for Automatic Generation Control[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20180104010.
基于虚拟狼群策略的分层分布式自动发电控制
Virtual Wolf Pack Strategy Based Hierarchical and Distributed Control Method for Automatic Generation Control
DOI:10.7500/AEPS20180104010
关键词: 虚拟狼群  分层分布式  多智能体  自动发电控制
KeyWords: virtual wolf pack  hierarchical and distributed control  multi-agent  automatic generation control
上网日期:2018-05-16
基金项目:国家自然科学基金
作者单位E-mail
席磊 三峡大学电气与新能源学院 xilei2014@163.com 
柳浪 三峡大学电气与新能源学院 newllony@126.com 
黄悦华 三峡大学电气与新能源学院 hyh@ctgu.edu.cn 
徐艳春 三峡大学电气与新能源学院 xyc7309@163.com 
陈建峰 三峡大学电气与新能源学院 872050352@qq.com 
李玉丹 三峡大学电气与新能源学院 1193307992@qq.com 
摘要:
      为解决传统集中式AGC无法解决的大规模新能源接入电网所带来的强随机扰动问题,从AGC角度提出一种面向分布式能源、基于虚拟狼群策略的分层分布式控制方法,以获取区域的最优协同控制。该方法简称虚拟狼群策略,它结合新输赢评判标准、爬山算法和资格迹,通过智能体精确计算赢输评判标准并快速收敛到纳什均衡,在总功率指令分配部分采用协同一致性算法。通过对IEEE标准两区域负荷频率控制电力系统改进模型以及湖北电网模型进行仿真验证,结果表明所提方法能获得区域协同控制、改善闭环系统性能、减少碳排放,同时具有更快的收敛速度。
Abstract:
      To solve stochastic disturbance problem caused by massive integration of new energy to the power grid, a virtual wolf pack strategy based hierarchical and distributed control (VWPS-HDC) method is proposed to obtain the optimal col-laborative control of the region, which orients to distributed energy, and is also called virtual wolf pack strategy. In this method, the fast convergence to Nash equilibrium and the accurate calculation for agents are obtained based on the new win-lose judgment criterion, policy hill-climbing, and eligibility trace, and the active power is distributed with a col-laborative consensus algorithm. The simulation conducted on the IEEE two-area load frequency control power system modified model and Hubei power grid model in China demonstrates that the proposed method can obtain the regional optimal collaborative control. Also, it can improve the closed-loop system performances, reduce the carbon emission, and achieve a faster convergence speed.
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