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Journals / Turkish Journal of Electrical Engineering and Computer Science / 2014 / Cilt: 22 - Sayı: 4

Simultaneous identification and correction of measurement and branch parameter errors

Mehdi Ahmadi JIRDEHI
Mehrdad Tarafdar HAGH
Kazem ZARE
Pages
858–873
Publication Date
2014-04-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Single, multiple, and simultaneous errors in the conventional measurements and branch parameters are considered for different case studies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The performance of the state estimation (SE) depends on the accuracy of the received measured data, as well as the parameter data of the power system.
📊
Key Findings & Data:Finally, IEEE 14-, 30-, and 57-bus test systems are used to show the validity and robustness of the proposed algorithm.
💡
Conclusion & Impact:Single, multiple, and simultaneous errors in the conventional measurements and branch parameters are considered for different case studies.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:State estimation · measurement errors · branch parameter errors

Abstract

The performance of the state estimation (SE) depends on the accuracy of the received measured data, as well as the parameter data of the power system. In this paper, a new algorithm is proposed for the simultaneous identification and correction of measurement and branch parameter errors (series and shunt admittances) in the power system SE problem. The proposed method uses Lagrange multipliers for the identification and correction of branch parameter errors without the need for a-priori specification of suspect parameter vectors. Erroneous measurements and branch parameter values can be corrected using the proposed method to estimate the measurement and branch parameter errors. Finally, IEEE 14-, 30-, and 57-bus test systems are used to show the validity and robustness of the proposed algorithm. Single, multiple, and simultaneous errors in the conventional measurements and branch parameters are considered for different case studies.

Özet

The performance of the state estimation (SE) depends on the accuracy of the received measured data, as well as the parameter data of the power system. In this paper, a new algorithm is proposed for the simultaneous identification and correction of measurement and branch parameter errors (series and shunt admittances) in the power system SE problem. The proposed method uses Lagrange multipliers for the identification and correction of branch parameter errors without the need for a-priori specification of suspect parameter vectors. Erroneous measurements and branch parameter values can be corrected using the proposed method to estimate the measurement and branch parameter errors. Finally, IEEE 14-, 30-, and 57-bus test systems are used to show the validity and robustness of the proposed algorithm. Single, multiple, and simultaneous errors in the conventional measurements and branch parameters are considered for different case studies.

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Cite This Article

JIRDEHI, M. A., HAGH, M. T., ZARE, K. (2014). Simultaneous identification and correction of measurement and branch parameter errors. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 22 - Sayı: 4, 858–873. https://ajindex.com/articles/187901

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