Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm
This article presents a novel method for identification of synchronous generator parameters that is based on sudden short-circuit test data and a novel metaheuristic algorithm, called the adaptive black widow optimization algorithm. Unlike traditional methods defined by IEEE and International Electr...
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2020
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oai:doaj.org-article:0dd7028ef73a4b5b9696267ab1b2fdad2021-11-19T00:05:39ZField Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm2169-353610.1109/ACCESS.2020.3037510https://doaj.org/article/0dd7028ef73a4b5b9696267ab1b2fdad2020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9256260/https://doaj.org/toc/2169-3536This article presents a novel method for identification of synchronous generator parameters that is based on sudden short-circuit test data and a novel metaheuristic algorithm, called the adaptive black widow optimization algorithm. Unlike traditional methods defined by IEEE and International Electrotechnical Commission (IEC) standards, which rely on the armature current oscillogram, the method proposed in this article uses the field current waveform during the short-circuit test. Moreover, the standard graphical method for extraction of the generator parameters is replaced by an effective metaheuristic algorithm. The proposed algorithm tends to minimize the normalized sum of squared errors (NSSE) between simulation and experimental results. The applicability and accuracy of the proposed optimization technique are verified using experimentally obtained results from a 100-MVA synchronous generator at the Bajina Basta hydropower plant.Mihailo MicevMartin CalasanDragan S. PetrovicZiad M. AliNguyen Vu QuynhShady H. E. Abdel AleemIEEEarticleBlack widow optimization algorithmfield current waveformparameter estimationsynchronous generatorElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 207537-207550 (2020) |
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Black widow optimization algorithm field current waveform parameter estimation synchronous generator Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Black widow optimization algorithm field current waveform parameter estimation synchronous generator Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mihailo Micev Martin Calasan Dragan S. Petrovic Ziad M. Ali Nguyen Vu Quynh Shady H. E. Abdel Aleem Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm |
description |
This article presents a novel method for identification of synchronous generator parameters that is based on sudden short-circuit test data and a novel metaheuristic algorithm, called the adaptive black widow optimization algorithm. Unlike traditional methods defined by IEEE and International Electrotechnical Commission (IEC) standards, which rely on the armature current oscillogram, the method proposed in this article uses the field current waveform during the short-circuit test. Moreover, the standard graphical method for extraction of the generator parameters is replaced by an effective metaheuristic algorithm. The proposed algorithm tends to minimize the normalized sum of squared errors (NSSE) between simulation and experimental results. The applicability and accuracy of the proposed optimization technique are verified using experimentally obtained results from a 100-MVA synchronous generator at the Bajina Basta hydropower plant. |
format |
article |
author |
Mihailo Micev Martin Calasan Dragan S. Petrovic Ziad M. Ali Nguyen Vu Quynh Shady H. E. Abdel Aleem |
author_facet |
Mihailo Micev Martin Calasan Dragan S. Petrovic Ziad M. Ali Nguyen Vu Quynh Shady H. E. Abdel Aleem |
author_sort |
Mihailo Micev |
title |
Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm |
title_short |
Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm |
title_full |
Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm |
title_fullStr |
Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm |
title_full_unstemmed |
Field Current Waveform-Based Method for Estimation of Synchronous Generator Parameters Using Adaptive Black Widow Optimization Algorithm |
title_sort |
field current waveform-based method for estimation of synchronous generator parameters using adaptive black widow optimization algorithm |
publisher |
IEEE |
publishDate |
2020 |
url |
https://doaj.org/article/0dd7028ef73a4b5b9696267ab1b2fdad |
work_keys_str_mv |
AT mihailomicev fieldcurrentwaveformbasedmethodforestimationofsynchronousgeneratorparametersusingadaptiveblackwidowoptimizationalgorithm AT martincalasan fieldcurrentwaveformbasedmethodforestimationofsynchronousgeneratorparametersusingadaptiveblackwidowoptimizationalgorithm AT draganspetrovic fieldcurrentwaveformbasedmethodforestimationofsynchronousgeneratorparametersusingadaptiveblackwidowoptimizationalgorithm AT ziadmali fieldcurrentwaveformbasedmethodforestimationofsynchronousgeneratorparametersusingadaptiveblackwidowoptimizationalgorithm AT nguyenvuquynh fieldcurrentwaveformbasedmethodforestimationofsynchronousgeneratorparametersusingadaptiveblackwidowoptimizationalgorithm AT shadyheabdelaleem fieldcurrentwaveformbasedmethodforestimationofsynchronousgeneratorparametersusingadaptiveblackwidowoptimizationalgorithm |
_version_ |
1718420650248372224 |