磁控式并联电抗器动态自适应逆控制算法

Dynamic Adaptive Inverse Control Algorithm Magnetically Controlled Shunt Reactor Based on Time Varying System Parameters Tracing

提出一种磁控式并联电抗器(magnetically controlled shunt reactor,MCSR)的非线性自适应逆控制系统的建模算法,采用"分解建模"的设计思想,将元件建模和动态系统辨识理论相结合,对MCSR的非线性元件部分和外在系统的动态影响分别建模。建立描述非线性磁路特性的逆对象方程,根据"阿贝尔定理"对非线性方程进行泰勒展开,以解析解形式求出控制系统需要的励磁电流,建立逆对象传递函数;针对外在电力系统与MCSR的相关性,建立时变参数的动态回归方程,以最小二乘法求出时变参数。已在电力系统全数字实时仿真装置(advanced digital power systemsimulator,ADPSS)中编程实现了控制模块的工程化应用,并以MCSR实际运行参数搭建算例,验证了控制系统的有效性和实用性。

A modeling algorithm was proposed for the nonlinear adaptive inverse control system of magnetically controlled shunt reactor （MCSR）, based on the decomposition modeling thought, the nonlinear component and external system effects were modeled separately in use of the component modeling and dynamic system identification theory. The inverse object function was established, according to the Abel theorem, Taylor expansion of the nonlinear function was derived to calculate the analytical solution of excitation current for the control system. Considering the relevance of power system and MCSR, the regression equation in dynamic time-varying parameters was created according to the theory of dynamic parameter tracking, time-varying parameters were calculated in use of least square method. Computer simulation results used in MCSR practical operation parameters confirm the effectiveness and validity of control algorithm, advanced digital power system simulator （ADPSS） has contained the controller model by program.