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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mihailo Micev, Martin Calasan, Dragan S. Petrovic, Ziad M. Ali, Nguyen Vu Quynh, Shady H. E. Abdel Aleem
Formato: article
Lenguaje:EN
Publicado: IEEE 2020
Materias:
Acceso en línea:https://doaj.org/article/0dd7028ef73a4b5b9696267ab1b2fdad
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:0dd7028ef73a4b5b9696267ab1b2fdad
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Black widow optimization algorithm
field current waveform
parameter estimation
synchronous generator
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle 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