Performance Analysis and Model Improvements for Electromagnetic Transient State Estimators

State estimation techniques for the study of electromagnetic transients use measurement records to analyze the propagation of such effects to other unmonitored locations within an electrical grid. Among the approaches mentioned in the literature, strategies based on numerical derivatives and integra...

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Main Authors: Humberto Cunha de Oliveira, Vinicius Henrique Faria Brito, Jose Carlos de Oliveira, Isaque Nogueira Gondim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10947757/
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author Humberto Cunha de Oliveira
Vinicius Henrique Faria Brito
Jose Carlos de Oliveira
Isaque Nogueira Gondim
author_facet Humberto Cunha de Oliveira
Vinicius Henrique Faria Brito
Jose Carlos de Oliveira
Isaque Nogueira Gondim
author_sort Humberto Cunha de Oliveira
collection DOAJ
description State estimation techniques for the study of electromagnetic transients use measurement records to analyze the propagation of such effects to other unmonitored locations within an electrical grid. Among the approaches mentioned in the literature, strategies based on numerical derivatives and integrative substitutions stand out because of their implementation facilities and effective responses. However, since these procedures typically rely on simplified component models that omit parameters essential for transient phenomena analysis, inaccurate estimator responses can result. Due to the lack of comparative studies on state estimation methods for electromagnetic transients, this article presents a comparative evaluation of two widely recognized approaches: Numerical Integration Substitution (NIS) and Numerical Derivative Substitution (NDS). In addition, improvements in transformer modeling are proposed for both methods by incorporating previously neglected parameters, such as winding resistances and stray capacitances. Both methods are assessed through computational and experimental simulations, highlighting their performance in terms of accuracy and numerical stability. The results demonstrate that the proposed improvements enhance the estimation accuracy of both methods. Moreover, the improved NDS approach consistently outperforms NIS, exhibiting better convergence under conditions involving high-frequency transients.
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spelling doaj-art-c8d6632469d045c7aec32dc7167e2d452025-08-20T02:12:34ZengIEEEIEEE Access2169-35362025-01-0113631576316910.1109/ACCESS.2025.355728610947757Performance Analysis and Model Improvements for Electromagnetic Transient State EstimatorsHumberto Cunha de Oliveira0https://orcid.org/0000-0001-9100-1532Vinicius Henrique Faria Brito1https://orcid.org/0000-0003-3834-3124Jose Carlos de Oliveira2https://orcid.org/0000-0002-5825-317XIsaque Nogueira Gondim3Electrical Engineering Faculty, Federal University of Uberlândia, Uberlândia, Minas Gerais, BrazilElectrical Engineering Faculty, Federal University of Uberlândia, Uberlândia, Minas Gerais, BrazilElectrical Engineering Faculty, Federal University of Uberlândia, Uberlândia, Minas Gerais, BrazilElectrical Engineering Faculty, Federal University of Uberlândia, Uberlândia, Minas Gerais, BrazilState estimation techniques for the study of electromagnetic transients use measurement records to analyze the propagation of such effects to other unmonitored locations within an electrical grid. Among the approaches mentioned in the literature, strategies based on numerical derivatives and integrative substitutions stand out because of their implementation facilities and effective responses. However, since these procedures typically rely on simplified component models that omit parameters essential for transient phenomena analysis, inaccurate estimator responses can result. Due to the lack of comparative studies on state estimation methods for electromagnetic transients, this article presents a comparative evaluation of two widely recognized approaches: Numerical Integration Substitution (NIS) and Numerical Derivative Substitution (NDS). In addition, improvements in transformer modeling are proposed for both methods by incorporating previously neglected parameters, such as winding resistances and stray capacitances. Both methods are assessed through computational and experimental simulations, highlighting their performance in terms of accuracy and numerical stability. The results demonstrate that the proposed improvements enhance the estimation accuracy of both methods. Moreover, the improved NDS approach consistently outperforms NIS, exhibiting better convergence under conditions involving high-frequency transients.https://ieeexplore.ieee.org/document/10947757/Electromagnetic transientspower system analysistransient state estimationdynamic modeltransformer leakage capacitances
spellingShingle Humberto Cunha de Oliveira
Vinicius Henrique Faria Brito
Jose Carlos de Oliveira
Isaque Nogueira Gondim
Performance Analysis and Model Improvements for Electromagnetic Transient State Estimators
IEEE Access
Electromagnetic transients
power system analysis
transient state estimation
dynamic model
transformer leakage capacitances
title Performance Analysis and Model Improvements for Electromagnetic Transient State Estimators
title_full Performance Analysis and Model Improvements for Electromagnetic Transient State Estimators
title_fullStr Performance Analysis and Model Improvements for Electromagnetic Transient State Estimators
title_full_unstemmed Performance Analysis and Model Improvements for Electromagnetic Transient State Estimators
title_short Performance Analysis and Model Improvements for Electromagnetic Transient State Estimators
title_sort performance analysis and model improvements for electromagnetic transient state estimators
topic Electromagnetic transients
power system analysis
transient state estimation
dynamic model
transformer leakage capacitances
url https://ieeexplore.ieee.org/document/10947757/
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AT josecarlosdeoliveira performanceanalysisandmodelimprovementsforelectromagnetictransientstateestimators
AT isaquenogueiragondim performanceanalysisandmodelimprovementsforelectromagnetictransientstateestimators