This algorithm improves confidence in se by estimating parameters and states at the same time . simulation results on test power systems which range in size from 4 to 118 buses , have shown the virtues as follows : getting unbiased estimation without detecting and identifying bad data in measurements ; solving state and parameter estimation for power system with good convergence and excellent robust property ; increasing the numbers of iterations a little bit with the test systems expanded ; estimating many transformer taps simultaneously and remaining the main state estimation ; keeping the estimated relative error within + 0 . 1 % and processing efficiently equality constraints and ill condition with polynomial complexity 对ieee ? 4 118节点系统和广西主网进行的仿真结果表明： l1范数估计具有不良数据拒绝特性，当量测量中存在不良数据时，该算法在不经检测和辨识不良数据情况下仍是无偏估计，具有良好收敛性，所需迭代次数随着问题规模扩大而增长极小；能够同时估计多个变压器抽头，并保持状态估计主体；在满足可观测性条件下，估计的相对误差保证在0 . 1以内；能够有效处理等式约束和病态条件，并具有多项式时间性。
