电力系统实时相角测量中的参考相角自适应预测

Adaptive Prediction of the Reference Phase Angle in Real-time Phasor Measurement of the Electric Power System

在建立了发电机功角数学模型的基础上，应用渐消记忆的“当前”统计模型的自适应跟踪算法，对电力系统实时相角测量中的参考相角进行滤波和预测，以便在就地产生一个超前的参考相角用于就地的监控。仿真结果表明了该算法的有效性。

Based on the mathematical model of the angle of the generator, the paper applies the “current” stochastic model adaptive tracking algorithm with gradual-reduced-memory to filter and predict the reference phase angle which can provide ahead-reference phase angle for monitoring and controlling on the spot. The effectiveness of the proposed algorithm is shown by simulation results.