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CLC number: TM921

On-line Access: 2016-11-07

Received: 2015-09-14

Revision Accepted: 2015-12-15

Crosschecked: 2016-10-19

Cited: 0

Clicked: 2127

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Mehdi Ahmadi Jirdehi

http://orcid.org/0000-0002- 7836-9401

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Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.11 P.1218-1227

http://doi.org/10.1631/FITEE.1500301


A multi-functional dynamic state estimator for error validation: measurement and parameter errors and sudden load changes


Author(s):  Mehdi Ahmadi Jirdehi, Reza Hemmati, Vahid Abbasi, Hedayat Saboori

Affiliation(s):  Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah 63766-67178, Iran

Corresponding email(s):   m.ahmadi@kut.ac.ir, reza.hematti@gmail.com, v_abbasi@kut.ac.ir, h.saboori@kut.ac.ir

Key Words:  Dynamic state estimation, Kalman filter, Measurement errors, Branch parameter errors, Sudden load changes


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[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(11): 1218-1227.

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publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500301"
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%A Vahid Abbasi
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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.

This paper proposed a new and efficient algorithm for simultaneous detection, identification and correction of measurement and branch parameter errors based on the DSE algorithm and KF theory. The proposed correction methodology also successfully detected and identified the sudden load changes. The suitable results were obtained and it was shown that the proposed method successfully processed the anomalies and identified and corrected the errors, with high accuracy. The ideas in the paper are interesting and the theoretic results obtained have some potential in applications.

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

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

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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