静止无功补偿器新型自适应动态规划电压控制

以静止无功补偿器电压控制非线性系统为研究对象,提出了一种采用新型自适应动态规划Gr HDP实现静止无功补偿器电压控制的方法。选取当前及历史时刻电压误差作为系统状态反馈向量,根据外部增强信号及内部强化信号,Gr HDP利用误差反向传播算法对3个神经网络权值进行反馈调节并获取最优权值,实现了静止无功补偿器的电压优化控制。在Matlab/Simulink仿真平台对执行依赖启发式动态规划ADHDP、PI控制和Gr HDP进行了仿真对比。结果表明,采用Gr HDP的静止无功补偿器能快速补偿系统无功功率,具有更好的电压控制效果,控制系统响应速度快、自适应能力强。

Voltage control of static Var compensator based on novel adaptive dynamic programming

To remedy the defect of traditional PI controller in static Var compensator nonlinear voltage control system, a method based on novel adaptive dynamic programming, goal representation heuristic dynamic programming (GrHDP), is proposed to optimize control of SVC voltage control system adaptively. According to the external enhancement signal and the internal strengthening signal, the GrHDP algorithm uses error backward propagation to adjust the weights of the three neural networks and obtain the optimal weights in order to realize the optimal control of the system by selecting the current and historical voltage errors as the system state feedback vector. The Action Dependent Heuristic Dynamic Programming (ADHDP) and the GrHDP algorithm are used to design the voltage regulator of the SVC voltage control system respectively, and simulation comparison is carried out in Matlab/Simulink platform. The results show that the SVC voltage control system based on GrHDP algorithm can compensate reactive power quickly, and has better voltage stability and control effect.The control system has faster response speed and stronger adaptive ability. This work is supported by National Natural Science Foundation of China (No. 61563006), Science and Technology Project of Guangxi (No. 1598008-2), and Natural Science Foundation of Guangxi (No. 2013GXNSFCA019020).