基于LS-SVM的电力系统参考相角预测

Prediction of Reference Phase Angle in the Electric Power System Based on LS-SVM

针对电力系统实时相角测量模型,为了克服由于通信过程而导致的参考相角滞后,提出采用基于最小二乘支持向量机(LS-SVM)的方法对参考相角进行预测,以使预测的参考相角信息能够用于就地的稳定性分析和控制。仿真结果表明,用LS-SVM预测相角的方法具有较高的跟踪速度和预测精度,并具有较好的动态效果,满足电力系统对实时相角测量的要求。

The prediction of reference phase angle is one of the key problems of a real-time phase angle measurement in the electric power system, and can be used for system stability analysis and on-site control. In order to solve the problem of the delay caused by the communication, this paper predicts the reference phase angle based on the LS-SVM. The simulation research shows that LSSVM has good tracking performance, dynamic effect , and high precision. And this method has good practicality value too.