基于PMU/SCADA混合量测的电力系统鲁棒状态估计

Robust State Estimation of Power System Based on PMU and SCADA Hybrid Measurement

状态估计器提供的准确运行状态是电力系统可靠运行和控制的关键,本文运用一种基于同步相量测量单元和数据采集与监控系统混合量测的鲁棒状态估计方法来精确监测电力系统的运行状态.针对加权最小二乘法在电力系统中对量测数据精度要求高、抗差性弱的缺点,结合分段指数函数和抗差估计,提出一种自适应加权最小二乘法,通过监测点配置及残差平方和来检测故障节点,并根据故障所在范围动态调整测量权值,提高了算法的鲁棒性.最后通过IEEE 30节点的算例分析,验证了该方法具有较好的鲁棒性和较高的时效性.

Accurate operating state provided by a state estimator is essential to reliable operation and control of a power system.This paper uses a robust state estimation method based on the synchronous phasor measurement unit(PMU)and SCADA hybrid measurement to accurately monitor the operation of the power system status.To remedy the shortcomings of the weighted least square method in the power system that requires high measurement data accuracy and weak robustness,a method for adaptive weighted least square is proposed based on piecewise exponential function and robust estimation.Monitoring point configuration and residual sum of square differences are employed to detect the faulty node.The robustness of the algorithm is improved by dynamically adjusting the measurement weight according to the range of the fault.Finally,the analysis of the IEEE30 node example proves that the method has good robustness and high timeliness.