Analysis of the Largest Normalized Residual Test Robustness for Measurements Gross Errors Processing in the WLS State Estimator
This paper purpose is to implement a computational program to estimate the states (complex nodal voltages) of a power system and showing that the largest normalized residual (LNR) test fails many times. The chosen solution method was the Weighted Least Squares (WLS). Once the states are estimated a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Institute of Informatics and Cybernetics
2013-10-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/iFB118HC.pdf
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| _version_ | 1818540385797931008 |
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| author | Breno Carvalho Newton Bretas |
| author_facet | Breno Carvalho Newton Bretas |
| author_sort | Breno Carvalho |
| collection | DOAJ |
| description | This paper purpose is to implement a computational program to estimate the states (complex nodal voltages) of a power system and showing that the largest normalized residual (LNR) test fails many times. The chosen solution method was the Weighted Least Squares (WLS). Once the states are estimated a gross error analysis is made with the purpose to detect and identify the measurements that may contain gross errors (GEs), which can interfere in the estimated states, leading the process to an erroneous state estimation. If a measure is identified as having error, it is discarded of the measurement set and the whole process is remade until all measures are within an acceptable error threshold. To validate the implemented software there have been done several computer simulations in the IEEE´s systems of 6 and 14 buses, where satisfactory results were obtained. Another purpose is to show that even a widespread method as the LNR test is subjected to serious conceptual flaws, probably due to a lack of mathematical foundation attendance in the methodology. The paper highlights the need for continuous improvement of the employed techniques and a critical view, on the part of the researchers, to see those types of failures. |
| first_indexed | 2024-12-11T21:54:40Z |
| format | Article |
| id | doaj.art-678d671857344f1198a13485443fdae1 |
| institution | Directory Open Access Journal |
| issn | 1690-4524 |
| language | English |
| last_indexed | 2024-12-11T21:54:40Z |
| publishDate | 2013-10-01 |
| publisher | International Institute of Informatics and Cybernetics |
| record_format | Article |
| series | Journal of Systemics, Cybernetics and Informatics |
| spelling | doaj.art-678d671857344f1198a13485443fdae12022-12-22T00:49:21ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242013-10-0111716Analysis of the Largest Normalized Residual Test Robustness for Measurements Gross Errors Processing in the WLS State EstimatorBreno Carvalho0Newton Bretas1 University of São Paulo University of São Paulo This paper purpose is to implement a computational program to estimate the states (complex nodal voltages) of a power system and showing that the largest normalized residual (LNR) test fails many times. The chosen solution method was the Weighted Least Squares (WLS). Once the states are estimated a gross error analysis is made with the purpose to detect and identify the measurements that may contain gross errors (GEs), which can interfere in the estimated states, leading the process to an erroneous state estimation. If a measure is identified as having error, it is discarded of the measurement set and the whole process is remade until all measures are within an acceptable error threshold. To validate the implemented software there have been done several computer simulations in the IEEE´s systems of 6 and 14 buses, where satisfactory results were obtained. Another purpose is to show that even a widespread method as the LNR test is subjected to serious conceptual flaws, probably due to a lack of mathematical foundation attendance in the methodology. The paper highlights the need for continuous improvement of the employed techniques and a critical view, on the part of the researchers, to see those types of failures.http://www.iiisci.org/Journal/CV$/sci/pdfs/iFB118HC.pdf State Estimationsystems Normalized ResidualGross Errors |
| spellingShingle | Breno Carvalho Newton Bretas Analysis of the Largest Normalized Residual Test Robustness for Measurements Gross Errors Processing in the WLS State Estimator Journal of Systemics, Cybernetics and Informatics State Estimation systems Normalized Residual Gross Errors |
| title | Analysis of the Largest Normalized Residual Test Robustness for Measurements Gross Errors Processing in the WLS State Estimator |
| title_full | Analysis of the Largest Normalized Residual Test Robustness for Measurements Gross Errors Processing in the WLS State Estimator |
| title_fullStr | Analysis of the Largest Normalized Residual Test Robustness for Measurements Gross Errors Processing in the WLS State Estimator |
| title_full_unstemmed | Analysis of the Largest Normalized Residual Test Robustness for Measurements Gross Errors Processing in the WLS State Estimator |
| title_short | Analysis of the Largest Normalized Residual Test Robustness for Measurements Gross Errors Processing in the WLS State Estimator |
| title_sort | analysis of the largest normalized residual test robustness for measurements gross errors processing in the wls state estimator |
| topic | State Estimation systems Normalized Residual Gross Errors |
| url | http://www.iiisci.org/Journal/CV$/sci/pdfs/iFB118HC.pdf
|
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