文章摘要
陈晨,李平康,贾智州.考虑饱和环节的自动发电控制时滞系统串级控制[J].电力系统自动化,2017,41(10):66-71. DOI: 10.7500/AEPS20160930010.
CHEN Chen,LI Pingkang,JIA Zhizhou.Cascade Control of Automatic Generation Control Time-delay System Considering Saturation[J].Automation of Electric Power Systems,2017,41(10):66-71. DOI: 10.7500/AEPS20160930010.
考虑饱和环节的自动发电控制时滞系统串级控制
Cascade Control of Automatic Generation Control Time-delay System Considering Saturation
DOI:10.7500/AEPS20160930010
关键词: 发电机变化率约束  时延  串级控制  Hopf分岔代数判据  遗传优化
KeyWords: generation rate constraint(GRC)  time delay  cascade control  Hopf bifurcation algebraic criterion  genetic optimization
上网日期:2017-03-03
基金项目:国家自然科学基金资助项目(61074104)
作者单位E-mail
陈晨 北京交通大学机械与电子控制工程学院, 北京市 100044  
李平康 北京交通大学机械与电子控制工程学院, 北京市 100044 pkli@bjtu.edu.cn 
贾智州 北京交通大学机械与电子控制工程学院, 北京市 100044  
摘要:
      自动发电控制(AGC)调节过程中存在发电机变化率约束、时延等约束条件,使得基于线性模型的AGC控制策略不能反映真实电力系统的频率调节特性。针对AGC时滞系统同时存在饱和与时延的问题,提出了一种基于内外环比例—积分(PI)稳定域的串级控制系统遗传优化策略。基于AGC系统的负荷频率控制与机组控制组成的串级控制回路,采用Hopf分岔代数判据和时滞系统稳定域理论,分别求取了内外回路的PI稳定域,证明了饱和及时延参数会影响到PI稳定域的变化。通过将稳定域转化为控制器参数优化的约束条件后,对内环优化采用不同指标进行对比,证明了绝对误差积分(IAE)指标对于扰动具有更好的抑制能力;而对外环的对比表明采用时间乘平方误差积分(ITSE)指标具有更小的波动量。遗传优化结果表明所提控制策略能够有效抑制饱和及时延环节对系统性能的影响。
Abstract:
      As there are constraints such as the time delay and generation rate constraint(GRC)in the automatic generation control(AGC)regulation process, the frequency regulation characteristics of power systems cannot be reflected by the AGC control strategy based on linear models. For the saturation and the time delay in the AGC time-delay system, a genetic optimization strategy of AGC cascade control system based on the proportional-integral(PI)stability domain is proposed. AGC system is equivalent to cascade control system made up of load frequency control loop and unit control loop. The Hopf bifurcation algebraic criterion and the time-delay system stability criteria are used to compute the stability domain of the inner and outer loops, respectively. It is proved that the parameters of the saturation and the time delay will affect the PI stability domains. Then the PI stability domains are converted into constraints of controller parameter optimization. Optimization comparative researches for the inner loop have shown that the integral of the absolute error(IAE)index has better performance in suppressing disturbances while the integral of the time squared error(ITSE)index has smaller fluctuations for the outer loop. Genetic optimization results show that the proposed control strategy is able to effectively resist the impact of the saturation and the time delay on the AGC system. This work is supported by National Natural Science Foundation of China(No. 61074104).
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