基于广义Tellegen定理的混合量测状态估计  

Mixed Measurements State Estimation Based on General Tellegen's Theorem

作　　者：王涛 林桂华 韩冬 董海涛 王玉莹 崔梅英 

机构地区：[1]国网技术学院,山东济南250002

出　　处：《国网技术学院学报》2016年第6期7-11,共5页Journal of State Grid Technology College

摘　　要：建立常数化的Jacobian矩阵是提高状态估计速度重要途径之一,此文提出了一种基于广义特勒根定理的混合量测状态估计方法,在等效电流变换方法基础上利用广义特勒根定理建立了可不忽略次要因素的常数化的Jacobian矩阵,解决了现有状态估计方法中建立常数化的Jacobian矩阵带来的数值稳定性问题,使得算法具有理想的收敛性,对各种分布量测均具有较强的兼容性,并具有计算速度较快、充分利用WAMS和SCADA系统测量数据、收敛性好的优点。通过IEEE-30节点系统对方法进行了验证,算例结果充分证明了该方法的有效性。Establishing Jacobian matrix constant is an important way to improve state estimation speed. In this paper, a kind of mixed measurements state estimation methods based on general Tellegen＇ s Theorem is proposed. The general Tellegen＇ s Theorem is applied to establish Jacobian matrix constant without ignoring secondary factors based on equivalent current transformation method. As a result, the problem of numerical stability during establishing Jacobian matrix constant in existing state estimation method is solved. Thus, the algorithm has ideal convergence. Furthermore ,it has strong compatibility for various distribution measurements. In addition, it has advantages such as fast calculation speed, making full use of WAMS and SCADA system to measure data and good convergence. The method used in this paper is verified through IEEE-30 node system. The example result fully proves effectiveness of the method.

关 键 词：混合量测 等效电流变换 广义特勒根定理 状态估计 数值稳定性 

分 类 号：TM712[电气工程—电力系统及自动化]