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:: Volume 1, Issue 2 (2-2013) ::
ieijqp 2013, 1(2): 58-67 Back to browse issues page
Simultaneous Process of Measurements and Parameters Errors in Dynamic State Estimation
Mehdi Ahmadi Jirdehi * 1, Mehrdad Tarafdar Hagh1 , Kazem Zare1
1- University of Tabriz
Abstract:   (14278 Views)
The accurate performance of the state estimation (SE) in power systems depends on the correct values of inputs including of measurements and lines parameters. On the other hand, errors occurrence in measurements and lines parameters values is not out of prospect which if these errors are not identified and corrected, inaccuracy estimation of state variables are obtained. In this paper, an efficient and useful method is proposed in dynamic state estimation (DSE) based on filter kalman (KF) that is capable to identify and correct of simultaneous measurements and lines parameters errors in power system. In the proposed method, after the errors identification by normalized residual and Lagrange multipliers vectors, the correct values of erroneous measurements and lines parameters using proposed functions substituted of incorrect values. Finally, the proposed method is applied on IEEE 14-bus test system in various scenarios of errors occurrence and various indexes are presented for evaluation of the proposed algorithm. Simulation results in these scenarios show the very high accuracy and efficiency of the proposed algorithm.
Keywords: Dynamic state estimation, Kalman filter, Identification and correction of errors, Measurements and lines parameters errors
Full-Text [PDF 403 kb]   (1906 Downloads)    
Type of Study: Research | Subject: Special
Received: 2012/12/30 | Accepted: 2013/03/3 | Published: 2013/03/3


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Ahmadi Jirdehi M, Tarafdar Hagh M, Zare K. Simultaneous Process of Measurements and Parameters Errors in Dynamic State Estimation. ieijqp 2013; 1 (2) :58-67
URL: http://ieijqp.ir/article-1-50-en.html


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Volume 1, Issue 2 (2-2013) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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