基于灰色预测的静止同步补偿器控制

STATCOM's Control Based on Grey Prediction

针对模型参数变化和噪声干扰的静止同步补偿器(STATCOM)单机无穷大系统,提出了一种基于灰色预测的无功电流控制。运用GM(1,1)模型预测下一时刻的无功电流,并根据STATCOM非线性数学模型建立了系统无功补偿电流的控制模型。从而将无功电流灰色预测控制补偿到PID控制中,利用来色系统理论进行预报,具有不必完全知道被控对象结构、参数和特性的优点,这对于像STATCOM这样大型非线性系统的预测控制实现非常有利。仿真结果表明,该方法比传统的PID控制具有更强的跟踪能力和鲁棒性。

As an indispensable element in Distributed Generation power system, STATCOM uses a high power self- commutating inverter to draw reactive current from a transmission line. Its objective is to provide smooth and rapid reactive power compensation for power system. According to highly inherent nonlinear STATCOM based on the single infinite system which is disturbed and has variable parameters, the controlling means of grey prediction is presented. Reactive current and grey parts are predicted on the basis of GM （1,1） model. In the light of the mathematical model of STATCOM, the control model of reactive current compensation is established and then reactive current is controlled by the grey prediction design. There are many advantages such as not needing completely explicit structure, parameters, character and so on when applying the grey theory to prediction. Therefore it is very favorable for realizing the prediction control in large-scale systems like STATCOM. Eventually the control logic is evaluated by Matlab, and the simulation results are compared with the traditional PID control design. The simulation results show that there are much stronger controllability and robustness against external disturbances with this method than with the traditional PID control design.