基于智能电表量测的三相四线制配网抗差估计

Robust State Estimation for Three-phase Four-wire Distribution System Using Smart Meters Measurement Data

在高级量测体系环境下,为提高配网状态估计性能,提出一种三相四线制配网的抗差状态估计方法。该方法完全采用智能电表量测的实际三相电压电流幅值和功率实时量测,以三相四线制配网节点注入电流方程为基础,建立指数加权最小二乘抗差估计模型。模型中将零注入功率方程同时作为虚拟量测方程和等式约束,目标函数中采用标准化残差的指数型权函数,以改善状态估计的收敛性和抗差性;而且该模型不存在系统中性点电位均为零和电源端点三相电压对称且已知的假设条件。最后,IEEE13节点修正系统的仿真结果表明,提出模型方法的估计结果精度高,且具有良好的收敛性和抗差性。

With the development of advanced metering infrastructure （AMI）, a new robust state estimation method for three-phase four-wire distribution system was proposed to improve the performance of state estimation in this paper. According to the actual three-phase voltage and current as well as power measurements in real-time from smart meters, the exponential weighted function least squares estimation model was proposed, which was based on the current injection equation in three-phase four-wire distribution network. With no assumptions of zero potential of neutral voltage and known three-phase voltage balanced in the substation, the proposed model could enhance the convergence and robustness performance of state estimation significantly by employing the exponential weighted function of standardized residual and handling zero-injection equations as virtual measurement equations and equality constraints. The simulation results for modified IEEE13 node test system have indicated that the proposed method is efficient, robust and accurate.