基于改进最小二乘法的电力系统状态估计State Estimation of Power System Based on Improved Least-squears Algorithm
蔡昌春,丁哓群,王斌
Cai Chang-chun,Ding Xiao-qun,Wang Bin
摘要(Abstract)：
作为能量管理系统(EMS)的一个组成部分,电力系统状态估计的研究具有重要意义。最小二乘法状态估计应用相当广泛,当传统最小二乘法在协方差矩阵变小时,估计参数会发生爆炸现象。提出了一种基于最小二乘法的递推阻尼最小二乘法状态估计算法。递推阻尼最小二乘法迭代的初值是上一时刻估计结果,电力系统在大部分情况下运行相对稳定,因此初值的选取可靠性高,保证了算法的鲁棒性和收敛速度。仿真结果显示此算法能够得到满意的结果。
As a part of EMS(Energy Manage System),the study of power system state estimation is significance.The least-squares algorithm is wildly used in power system state estimation.When the covariance matrix becomes smaller in the traditional least-squares algorithm,the estimable paˉrameter maybe exploded,this paper proposes the recursive damped least-squares algorithm,which is based on the least-squares algorithm.The result of recursive damped least-squares is the original value of the next.Most time,the operation of power system is stabile,it is reliable for the origiˉnal data and guarantee the robustness and convergence speed of algorithm.The simulation shows the algorithm can obtain a content result.
关键词(KeyWords)：
动态状态估计;递推阻尼最小二乘法;收敛性;电力系统
dynamic state estimation;recursive damped least-squares algorithm;convergence;power system
基金项目(Foundation):
作者(Author):
蔡昌春,丁哓群,王斌
Cai Chang-chun,Ding Xiao-qun,Wang Bin
DOI: 10.19585/j.zjdl.2006.04.002
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