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Front. Inform. Technol. Electron. Eng.  2016, Vol. 17 Issue (11): 1218-1227    DOI: 10.1631/FITEE.1500301
    
一种针对测试误差、参数误差和负荷突变故障分析的多功能动态状态估计器
Mehdi Ahmadi Jirdehi, Reza Hemmati, Vahid Abbasi, Hedayat Saboori
Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah 63766-67178, Iran
A multi-functional dynamic state estimator for error validation: measurement and parameter errors and sudden load changes
Mehdi Ahmadi Jirdehi, Reza Hemmati, Vahid Abbasi, Hedayat Saboori
Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah 63766-67178, Iran
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摘要： 概要：本文提出了一种基于卡尔曼滤波理论的动态状态估计新算法，可有效探测、识别并校正电力系统中的测试误差和支路参数误差。同时，该算法亦可成功探测和识别电力系统中的负荷突变。该方法在每段取样时间内，采用三种归一化向量对误差进行处理，包括归一化测量残差，归一化拉格朗日乘子，以及归一化新息向量。在IEEE14节点测试系统上对所提出的算法进行了可行性和效能验证，并通过对数值结果的呈示和讨论，说明了该方法的精确度。
关键词： 动态状态估计器;  卡尔曼滤波;  测试误差;  支路参数误差;  负荷突变    
Abstract: We propose a new and efficient algorithm to detect, identify, and correct measurement errors and branch parameter errors of power systems. A dynamic state estimation algorithm is used based on the Kalman filter theory. The proposed algorithm also successfully detects and identifies sudden load changes in power systems. The method uses three normalized vectors to process errors at each sampling time: normalized measurement residual, normalized Lagrange multiplier, and normalized innovation vector. An IEEE 14-bus test system was used to verify and demonstrate the effectiveness of the proposed method. Numerical results are presented and discussed to show the accuracy of the method.
Key words: Dynamic state estimation    Kalman filter    Measurement errors    Branch parameter errors    Sudden load changes
收稿日期: 2015-09-14 出版日期: 2016-11-07
CLC:  TM921  
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Mehdi Ahmadi Jirdehi
Reza Hemmati
Vahid Abbasi
Hedayat Saboori

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Mehdi Ahmadi Jirdehi, Reza Hemmati, Vahid Abbasi, Hedayat Saboori. A multi-functional dynamic state estimator for error validation: measurement and parameter errors and sudden load changes. Front. Inform. Technol. Electron. Eng., 2016, 17(11): 1218-1227.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/FITEE.1500301    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2016/V17/I11/1218

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