State estimation of power system is the basis of all the high level application and analysis for dispatch centers. Against the bad convergence of the WLAV (weighted least absolute value)-based state estimation method, a new robust state estimation method based on exponential weight function (E-LAV) is presented in the paper. This method uses an exponential weight function to replace the discontinues function of WLAV to improve the poor convergence. The results of the sample system of 4-node system and the IEEE 118-node system show that the E-LAV-based state estimation method not only owns the similar convergence as WLS-based method, and also owns a strong robustness. Through modifying the weight matrix of the least squares, the proposed new method has good prospects for application in practical engineering.%电力系统状态估计是电力调度中心一切高级应用及分析的基础.针对加权最小绝对值法(WLAV)状态估计收敛性较差的问题,提出了指数权函数的状态估计新算法(E-IAV).该方法采用指数权函数代替WLAV的不连续权函数,从而克服了 WLAV方法在权函数间断点收敛性能大大降低的缺点.以4节点系统及IEEE-118系统作为算例的计算结果表明,E-LAV算法在拥有与最小二乘法(WLS)近乎类似的迭代速度的同时,却拥有很强的抗差能力.该算法只需在原有最小二乘法的基础上修改权重矩阵即可,因此拥有良好的工程应用前景.
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