MARC表示: Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization

Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization

Bulk data modeling in a smart grid dynamic network has been performed using an automated load modeling tool (ALMT), an on-load tap changer, and exponential dynamic load modeling. However, studies have observed that a small parameter variation may lead to considerable variations in measuring grid big...

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主要な著者:	Mohammad Kamrul, Hasan, Musse, Mohamud Ahmed, Nur Farhana, Wani, Ali Hashim, Abbas, Lulwah M., Alkwai, Shayla, Islam, A.K.M. Ahasan, Habib, Rosilah, Hassan
フォーマット:	論文
言語:	English
出版事項:	Elsevier Ltd. 2023
主題:	TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:	http://ir.unimas.my/id/eprint/42400/1/Dynamic%20load.pdf http://ir.unimas.my/id/eprint/42400/ https://www.sciencedirect.com/science/article/pii/S2213138823001832 https://doi.org/10.1016/j.seta.2023.103190
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id	my.unimas.ir.42400
record_format	eprints
spelling	my.unimas.ir.424002023-07-24T03:51:30Z http://ir.unimas.my/id/eprint/42400/ Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization Mohammad Kamrul, Hasan Musse, Mohamud Ahmed Nur Farhana, Wani Ali Hashim, Abbas Lulwah M., Alkwai Shayla, Islam A.K.M. Ahasan, Habib Rosilah, Hassan TK Electrical engineering. Electronics Nuclear engineering Bulk data modeling in a smart grid dynamic network has been performed using an automated load modeling tool (ALMT), an on-load tap changer, and exponential dynamic load modeling. However, studies have observed that a small parameter variation may lead to considerable variations in measuring grid big data. Therefore, this study presents dynamic real-time load modeling, monitoring, and optimization method for the bulk load. The case study was conducted on Sarawak Energy Berhad (SEB), Malaysia. The grid system’s real-time data and load modeling achieved the objectives. Dynamic load model was achieved by using load response in MATLAB Simulink environment. This paper also includes new parameter estimations of the load composition at the selected bus. The simulation results of load models were compared with the recorded data by applying an event of bus tripping time interval. The Least Square Error Method was used to converge the estimated parameter values on load composition and compared with the actual recorded data until optimized load models were achieved. This work is a precious and significant contribution to utility research to identify, monitor, and optimize the most appropriate representation of system loads. Elsevier Ltd. 2023 Article PeerReviewed text en http://ir.unimas.my/id/eprint/42400/1/Dynamic%20load.pdf Mohammad Kamrul, Hasan and Musse, Mohamud Ahmed and Nur Farhana, Wani and Ali Hashim, Abbas and Lulwah M., Alkwai and Shayla, Islam and A.K.M. Ahasan, Habib and Rosilah, Hassan (2023) Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization. Sustainable Energy Technologies and Assessments, 57. pp. 1-10. ISSN 2213-1388 https://www.sciencedirect.com/science/article/pii/S2213138823001832 https://doi.org/10.1016/j.seta.2023.103190
institution	Universiti Malaysia Sarawak
building	Centre for Academic Information Services (CAIS)
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sarawak
content_source	UNIMAS Institutional Repository
url_provider	http://ir.unimas.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mohammad Kamrul, Hasan Musse, Mohamud Ahmed Nur Farhana, Wani Ali Hashim, Abbas Lulwah M., Alkwai Shayla, Islam A.K.M. Ahasan, Habib Rosilah, Hassan Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization
description	Bulk data modeling in a smart grid dynamic network has been performed using an automated load modeling tool (ALMT), an on-load tap changer, and exponential dynamic load modeling. However, studies have observed that a small parameter variation may lead to considerable variations in measuring grid big data. Therefore, this study presents dynamic real-time load modeling, monitoring, and optimization method for the bulk load. The case study was conducted on Sarawak Energy Berhad (SEB), Malaysia. The grid system’s real-time data and load modeling achieved the objectives. Dynamic load model was achieved by using load response in MATLAB Simulink environment. This paper also includes new parameter estimations of the load composition at the selected bus. The simulation results of load models were compared with the recorded data by applying an event of bus tripping time interval. The Least Square Error Method was used to converge the estimated parameter values on load composition and compared with the actual recorded data until optimized load models were achieved. This work is a precious and significant contribution to utility research to identify, monitor, and optimize the most appropriate representation of system loads.
format	Article
author	Mohammad Kamrul, Hasan Musse, Mohamud Ahmed Nur Farhana, Wani Ali Hashim, Abbas Lulwah M., Alkwai Shayla, Islam A.K.M. Ahasan, Habib Rosilah, Hassan
author_facet	Mohammad Kamrul, Hasan Musse, Mohamud Ahmed Nur Farhana, Wani Ali Hashim, Abbas Lulwah M., Alkwai Shayla, Islam A.K.M. Ahasan, Habib Rosilah, Hassan
author_sort	Mohammad Kamrul, Hasan
title	Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization
title_short	Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization
title_full	Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization
title_fullStr	Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization
title_full_unstemmed	Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization
title_sort	dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization
publisher	Elsevier Ltd.
publishDate	2023
url	http://ir.unimas.my/id/eprint/42400/1/Dynamic%20load.pdf http://ir.unimas.my/id/eprint/42400/ https://www.sciencedirect.com/science/article/pii/S2213138823001832 https://doi.org/10.1016/j.seta.2023.103190
_version_	1772816321777500160
score	13.251813

Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization

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