含指数型目标函数的电力系统抗差状态估计方法在江西电网中的应用

电力系统状态估计是能量管理系统的核心和基础模块,然而当量测系统中存在不良杠杆量测或一致性不良数据时,传统的含不良数据辨识程序的最小二乘估计不能很好地排除不良数据对状态估计的影响。为此介绍了一种能够自动排除不良数据对状态估计影响的含指数型目标函数的电力系统抗差状态估计模型,分析了该模型的理论基础和数学特性,给出了该模型在江西电网的应用方法和效果。结果表明,该抗差状态估计模型能够显著提升电力系统状态估计的精度,同时还能够保证严格满足零注入等式约束。

Application of a Robust State Estimator Based on Maximum Exponential Square in Jiangxi Power System

Power system state estimation is the core and basic module of energy management system(EMS),however when bad leverage measurement or inconsistent data exist in the measuring system,traditional weighted least square estimation with bad data identification cannot get rid of the influence of bad data on state estimation.For this reason,a robust power system state estimation model based on maximum exponential square,which can automatically eliminate the influence of bad data on state estimation,is proposed.Theoretical basis and mathematical characters of the proposed model are analyzed,and the method of applying the proposed model and results of applying the model in Jiangxi power system are given.Application effects show that the proposed model can improve the accuracy of power system state estimation notably,and it can be ensured to satisfy zero-injection constraints strictly.