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辨识网络拓扑错误的最小绝对值状态估计 被引量:2

State estimation using the least absolute value approach for topology error identification
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摘要 采用最小绝对值状态估计算法辨识网络拓扑错误。在传统的最小二乘法状态估计模型中引进扩展变量和量测量,构成最小绝对值状态估计问题,进而转化为线性规划的标准形式求解。在一实际测验系统上进行了试算。 The least absolute value state estimation algorithm is employed in this paper to identify the network topology errors. Extended variables and measurements are introduced into the conventional state estimation model of least square method, which composes a least absolute value state estimation problem. Correspondingly, the problem can be solved through the linear programming model. The proposed least absolute value state estimation algorithm is tested on an actual testing system.
出处 《电力系统保护与控制》 EI CSCD 北大核心 2009年第4期29-31,35,共4页 Power System Protection and Control
关键词 最小绝对值估计器 网络拓扑错误 最小二乘法 电力系统状态估计 线性规划 least absolute value estimator network topology error least square method power system state estimation linear programming
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  • 1黄滔,卢建刚,张辉.广东省调提高状态估计计算精度的措施[J].电网技术,2004,28(16):78-81. 被引量:41
  • 2张伯明,王世缨,相年德.电力系统动态状态估计中不正常事件的处理[J].中国电机工程学报,1993,13(3):52-58. 被引量:17
  • 3孙宏斌,高峰,张伯明,杨滢.最小信息损失状态估计中潮流和拓扑统一估计的通用理论[J].中国电机工程学报,2005,25(17):1-4. 被引量:26
  • 4L Mili. A Robust Estimation Method for Topology Error Identification. IEEE Trans On Power systems IMP. Vol. 14, No. 4, P.1469-1476.
  • 5Assadian M, Goddard R J, Hong H W et al. Field operational experiences with online state estimation[J]. IEEE Transactions on Power Systems, 1994, 9(1): 50-58.
  • 6Singh N, Glavitsch H. Detection and identification of topological errors in online power system analysis[J]. IEEE Transactions on Power Systems, 1991, 6(1): 324-331.
  • 7Singh N, Oesch F. Practical experience with rule-based on-line topology error detection[J]. IEEE Transactions on Power Systems,1994, 9(2): 841-847.
  • 8Souza J C S, Silva A M L d, Silva A P A d. Data debugging for real-time power system monitoring based on pattern analysis[J]. IEEE Transactions onPowerSystems, 1996, 11(3): 1592-1599.
  • 9Souza J C S, Silva A M L d, Silva A P A d. Online topology determination and bad data suppression in power system operation using artificial neural networks[J]. IEEE Transactions on Power Systems, 1998, 13(3): 796-803.
  • 10Clements K A, Davis P W. Detection and identification of topology errors in electric power systems[J]. IEEE Transactions on Power Systems, 1988, 3(4): 1748-1753.

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  • 1孙宏斌,高峰,张伯明,杨滢.电力系统最小信息损失状态估计的信息学原理[J].中国电机工程学报,2005,25(6):11-16. 被引量:7
  • 2文福拴,韩祯祥.基于覆盖集理论和Tabu搜索方法的电力系统警报处理[J].电力系统自动化,1997,21(2):18-23. 被引量:30
  • 3吴际舜.电力系统静态安全分析[M].上海:上海交通大学出版社,1984.8.
  • 4Vegunta S C,Milaniovic J V. Estimation of cost of downtime of industrial processes due to voltage sags[A].2009.1-4.
  • 5Filho J M,Leborgne R C. Voltage sags assessment based on fault characteristics[A].2008.1-6.
  • 6Le T,Lamoree J,McGranaghan M. Distribution system voltage sags:interaction with motor and drive loads[A].Chicago,USA,1994.
  • 7吴昌悫,魏洪增.矩阵理论与方法[M].北京:电子工业出版社,2013.
  • 8L Mili. A Robust Estimation Method for Topology Error Identification[ J ]. Trans On Power systems, Vol. 14, No. 4, P. 1469-1476.
  • 9Clements. K. A, Davis. P. W, Detection and identification of topol- ogy errors in electric power systems [ J ]. IEEE Trans on power sys- tems, 1988, 3(4): 1748-1753.
  • 10Singh. N, Glavitsch. H. Detection and identification of topological errors in online power system analysis[J]. IEEE Trans on Power Sys- tem, 1991 , 6(1) : 324-331.

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