基于延时补偿的电网谐波电流信号跟踪控制方法研究

Tracking control method of power network harmonic current signal based on time delay compensation

针对电力系统中谐波污染严重等问题,以注入式混合的有源电力滤波器IHAPF作为研究对象,提出了基于延时补偿的谐波电流信号跟踪控制方法。该方法主要由π补偿Smith预估器与神经网络PI控制组成,π补偿Smith预估器使系统延时过程中从控制的闭环内部转换到外部,从而减小了控制延时对系统的影响;通过PSO-BP算法对PI控制器参数进行优化处理,最后对所提方法进行了仿真验证。仿真结果表明,与传统方法相比,本研究所提方法具有更好动态响应特性和更高的稳态补偿精度。

Aiming at the serious harmonic pollution in power system,an active power filter based on IHAPF was used as the research object,and the tracking control method of harmonic current signal based on time delay compensation was proposed. The method was mainly composed of compensation Smith predictor with π and neural network PI control. In delay of Smith predictor with π compensation system from controlling the closed loop of internal conversion to the outside,so as to reduce the impact of time delay on system. The parameters of PI controller were optimized by PSO-BP algorithm. The ITAE criterion to establish Smith predictor and PI control parameter the mathematical expression,and neural network optimization method for the optimal parameters of the two controllers. Finally,the method was presented in this paper was simulation,the simulation results show that compared with the traditional method has better dynamic response characteristics of steady-state compensation and higher precision.