中国电力 ›› 2013, Vol. 46 ›› Issue (4): 69-73.DOI: 10.11930/j.issn.1004-9649.2013.4.69.4

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基于指数权函数的抗差状态估计算法

蔡凝露1, 幺莉1, 林济铿1,2, 王刚3, 王文杰3, 罗卫华3, 刘涛4, 王旭东4   

  1. 1. 智能电网教育部重点实验室(天津大学),天津 300072;
    2. 同济大学 电子与信息工程学院 电力系,上海 201804;
    3. 辽宁省电力有限公司,辽宁 沈阳 110006;
    4. 天津市电力公司电力科学研究院,天津 300384
  • 收稿日期:2013-01-24 出版日期:2013-04-05 发布日期:2015-12-14
  • 作者简介:蔡凝露(1987—),男,天津人,硕士研究生,从事电力系统状态估计研究。E-mail: cs5233@126.com

A Robust State Estimation Method Based on Exponential Weight Functions

CAI Ning-lu1, YAO Li1, LIN Ji-keng1,2, WANG Gang3, WANG Wen-jie3, LUO Wei-hua3, LIU Tao4, WANG Xu-dong4   

  1. 1. Key Laboratory of Smart Grid (Tianjin University), Ministry of Education, Tianjin 300072, China;
    2. Department of Electrical Engineering, College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China;
    3. Liaoning Electric Power Company Limited, Shenyang 110006, China;
    4. Electrical Power Research Institute of Electrical Company of Tianjin, Tianjin 300384, China
  • Received:2013-01-24 Online:2013-04-05 Published:2015-12-14

摘要: 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-LAV)。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。

关键词: 电力系统, 抗差状态估计, 指数权函数, 加权最小二乘

Abstract: 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.

Key words: power system, robust state estimation, exponential weight function, weighted least absolute value

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