基于灰色预测的广域电力系统稳定器分布延时补偿设计

A Compensation Design for Wide-area Power System Stabilizer Distributed Time Delay Based on Grey Prediction

针对广域电力系统稳定器(WPSS)系统的分布延时,提出了一种基于灰色预测的WPSS分布延时补偿算法。该算法利用实测的区间相对角速度数据,基于灰色预测产生出一组数据队列,并根据该数据队列中的各数据时标与系统当前时刻对比,选出对应的预测数据输送到WPSS的输入端,从而实现对分布延时的补偿。在3种不同延时分布情况下,分别在大扰动和小扰动时,使用文中基于灰色预测的WPSS延时补偿算法进行了仿真实验。仿真结果表明,所提出的基于灰色预测的WPSS延时补偿算法在不同情况下均具有良好的效果。

For the distributed time delays in wide-area power system stabilizer(WPSS)system,a compensation algorithm based on grey prediction is proposed.It uses some measured data of inter-area relative angular velocity to predict a set of future data by grey prediction,and chooses appropriate data from the predicted data set as the data corresponding to the current system time by comparing the time tag of these predicted data and current system time of WPSS.Then,the selected data is sent as input of WPSS.In this way,the distributed time delays in WPSS can be compensated for adaptively.Under three conditions of different delays,the suggested algorithm is illustrated respectively on a four-machine two-area simulation platform in the case of large disturbances and small perturbations.Simulation results show that this proposed time compensating algorithm is able to work effectively in WPSS under different conditions.