基于拟牛顿算法的电网智能计量与校准方法研究

Research on power grid smart metering and calibration method based on Quasi⁃Newton algorithm

随着智能电网的大力推广,对其的计量精度也提出了更高的要求。针对该情况,提出了一种基于拟牛顿算法的智能电表计量校准方法。该方法以智能电表的电能计量原理为理论基础,通过将智能电表的计量误差校准抽象为求计量误差最小值的最优化问题,以此建立起智能电表的计量校准模型。同时在模型求解过程中,选用计算精度及效率均表现优异的拟牛顿算法进行逐步迭代,以实现模型求解。再使用LabVIEW软件对所提出的算法进行计量与校准性能测试,实验结果表明,所提算法在电流波动的情况下仍能将计量误差稳定在0.1%之内。

The vigorous promotion of smart grid puts forward higher requirements for its measurement accuracy.In view of this situation,this paper proposes a measurement and calibration method of smart meter based on Quasi⁃Newton algorithm.This method is based on the energy measurement principle of smart meter.By abstracting the measurement error calibration of smart meter as the optimization problem of finding the minimum value of measurement error,the measurement calibration model of smart meter is established.In the process of solving the model,the Quasi⁃Newton algorithm with excellent accuracy and efficiency is selected,and the model is solved step by step.LabVIEW is used to test the measurement and calibration performance of the proposed algorithm.The experimental results show that the algorithm can still stabilize the measurement error within 0.1%in the case of current fluctuation.