静止无功补偿器自适应动态规划电压控制方法
发布时间：2018-08-27 19:03
【摘要】：为解决传统比例?积分?微分(proportional integral differential,PID)控制应用于静止无功补偿器(static var compensator,SVC)非线性控制系统存在的不足,提出了一种基于自适应动态规划(adaptive dynamic programming,ADP)的SVC自适应优化控制策略。采用小波神经网络和BP神经网络分别设计执行依赖启发式动态规划(action dependent heuristic dynamic programming,ADHDP)的执行网络和评价网络,以增强ADHDP对性能指标函数的逼近能力和控制律优化能力,然后用其设计了SVC控制系统的电压调节器。在Matlab/Simulink仿真平台对所提出的ADHDP控制方法进行了仿真,并与执行网络、评价网络均采用BP神经网络设计的经典ADHDP控制方法的控制效果进行了对比,验证了基于ADHDP的SVC电压优化控制方法的可行性和有效性。相比之下,所提出的ADHDP控制方法具有更好的电压稳定和控制效果,控制系统具有较快的响应速度、较好的动态和静态稳定性和较强的自适应能力。
[Abstract]:To solve the traditional ratio? integration The application of differential (proportional integral differential,PID) control to static Var compensator (static var compensator,SVC) nonlinear control system is deficient. A SVC adaptive optimal control strategy based on adaptive dynamic programming (adaptive dynamic programming,ADP) is proposed. Wavelet neural network and BP neural network are used to design the executive network and evaluation network, respectively, which depend on heuristic dynamic programming (action dependent heuristic dynamic programming,ADHDP) to enhance the ability of ADHDP to approach the performance index function and optimize the control law. Then the voltage regulator of SVC control system is designed. The proposed ADHDP control method is simulated on the Matlab/Simulink simulation platform, and the control effect of the classical ADHDP control method designed by the BP neural network is compared with that of the executive network and the evaluation network. The feasibility and effectiveness of SVC voltage optimal control method based on ADHDP are verified. In contrast, the proposed ADHDP control method has better voltage stability and control effect, and the control system has faster response speed, better dynamic and static stability and stronger adaptive ability.
【作者单位】： 广西科技大学电气与信息工程学院;
【基金】：国家自然科学基金项目(61563006) 广西科技攻关项目(桂科攻1598008-2) 广西自然科学基金项目(2013GXNSFCA019020)~~
【分类号】：TM761.12
[Abstract]:To solve the traditional ratio? integration The application of differential (proportional integral differential,PID) control to static Var compensator (static var compensator,SVC) nonlinear control system is deficient. A SVC adaptive optimal control strategy based on adaptive dynamic programming (adaptive dynamic programming,ADP) is proposed. Wavelet neural network and BP neural network are used to design the executive network and evaluation network, respectively, which depend on heuristic dynamic programming (action dependent heuristic dynamic programming,ADHDP) to enhance the ability of ADHDP to approach the performance index function and optimize the control law. Then the voltage regulator of SVC control system is designed. The proposed ADHDP control method is simulated on the Matlab/Simulink simulation platform, and the control effect of the classical ADHDP control method designed by the BP neural network is compared with that of the executive network and the evaluation network. The feasibility and effectiveness of SVC voltage optimal control method based on ADHDP are verified. In contrast, the proposed ADHDP control method has better voltage stability and control effect, and the control system has faster response speed, better dynamic and static stability and stronger adaptive ability.
【作者单位】： 广西科技大学电气与信息工程学院;
【基金】：国家自然科学基金项目(61563006) 广西科技攻关项目(桂科攻1598008-2) 广西自然科学基金项目(2013GXNSFCA019020)~~
【分类号】：TM761.12
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3 吴启涛,王建赜,赵牧函,纪延超;新型低谐波静止无功补偿器及其应用[J];电力系统自动化;2003年09期
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6 杨清;;静止无功补偿器的配置方法与仿真研究[J];山西电子技术;2006年03期
7 王树文;纪延超;马文川;;新型静止无功补偿器稳定系统电压的研究[J];中国电力;2006年07期
8 胡e，
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