基于改进卡尔曼滤波的电力计量装置误差补偿方法

Error Compensation Method of Electric Power Metering Device Based on Improved Kalman Filter

电力计量装置受互感器材合成、二次回路压降与环境温度等因素影响,使测量数值与实际数值存在较大误差。为此,提出基于改进卡尔曼滤波的电力计量装置误差补偿方法。通过三相四线接线、压降误差与相位等变化情况,得出产生误差的干扰因素。利用自回归滑动平均模型,将各干扰信号做平稳化处理,并使用最小二乘法拟合得出装置时间序列的误差模型。根据前一个时间点状态,预测当前计量装置的最佳状态,并以最小均方误差为约束,得出最佳计量值,实现自动化误差补偿。实验结果表明,该方法不仅能计算出各种干扰时电力计量装置的功率误差,还能保证误差补偿结果精度,具有较好的使用前景。

The power metering device is affected by factors such as the composition of mutual inductance equipment,secondary circuit voltage drop and ambient temperature,which makes a large error between the measured value and the actual value.Therefore,a method for compensating errors in power metering devices based on improved Kalman filtering is proposed.Through the threephase four wire connection,voltage drop error and phase changes,the interference factors that cause errors are obtained.Using the autoregressive moving average model,the interference signals are smoothed,and the least square method is used to fit the error model of the device time series.According to the state of the previous time point,the best state of the current metering device is predicted,and the best metering value is obtained with the minimum mean square error as the constraint,realize automatic error compensation.The experimental results show that this method can not only calculate the power errors of power metering devices under various disturbances,but also ensure the accuracy of error compensation results,which has a good prospect.