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Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm

This paper presents a new optimal controller using the Binary Gradient Descent (BGD) algorithm to manage distributed generations effectively in a grid network. The algorithm aims to minimize power consumption from the main grid and prioritize sustainable resource utilization over buying electricity...

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Main Authors:	Abdolrasol M.G.M., Ker P.J., Hannan M.A., Ayob A., Tiong S.K.
Other Authors:	35796848700
Format:	Conference Paper
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Subjects:	Efficient Energy Management Energy Scheduling Gradient Descent Algorithm Integrated Microgrids Renewable Energy Integration Renewable Resources Distributed power generation Electric loads Energy efficiency Energy utilization Gradient methods Microgrids Optimization Smart power grids Binary gradients Efficient energy management Energy Energy scheduling Gradient descent algorithms Integrated microgrid Microgrid Optimal schedule Renewable energy integrations Renewable resource Energy management
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id	my.uniten.dspace-34417
record_format	dspace
spelling	my.uniten.dspace-344172024-10-14T11:19:38Z Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm Abdolrasol M.G.M. Ker P.J. Hannan M.A. Ayob A. Tiong S.K. 35796848700 37461740800 7103014445 26666566900 15128307800 Efficient Energy Management Energy Scheduling Gradient Descent Algorithm Integrated Microgrids Renewable Energy Integration Renewable Resources Distributed power generation Electric loads Energy efficiency Energy utilization Gradient methods Microgrids Optimization Smart power grids Binary gradients Efficient energy management Energy Energy scheduling Gradient descent algorithms Integrated microgrid Microgrid Optimal schedule Renewable energy integrations Renewable resource Energy management This paper presents a new optimal controller using the Binary Gradient Descent (BGD) algorithm to manage distributed generations effectively in a grid network. The algorithm aims to minimize power consumption from the main grid and prioritize sustainable resource utilization over buying electricity from the local network grid. The proposed approach is evaluated on the IEEE fourteen bus test system with integrated Microgrids (MGs) and distributed generations, using real load demand data from Perlis, Malaysia, for 24-hour test case studies. Weather data, including wind, solar, fuel, and battery status, is integrated into the BGD algorithm for optimizing ON and OFF schedules. The results demonstrate a significant 46.3% reduction in energy consumption achieved by the BGD algorithm, contributing to the advancement of optimization algorithms for sustainable energy management. The developed BGD algorithm's effectiveness is further validated through a comparative analysis with conventional methods. � 2023 IEEE. Final 2024-10-14T03:19:38Z 2024-10-14T03:19:38Z 2023 Conference Paper 10.1109/ETFG55873.2023.10408061 2-s2.0-85185801552 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185801552&doi=10.1109%2fETFG55873.2023.10408061&partnerID=40&md5=3e371c5801497c1227a89db5813e6d47 https://irepository.uniten.edu.my/handle/123456789/34417 Institute of Electrical and Electronics Engineers Inc. Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Efficient Energy Management Energy Scheduling Gradient Descent Algorithm Integrated Microgrids Renewable Energy Integration Renewable Resources Distributed power generation Electric loads Energy efficiency Energy utilization Gradient methods Microgrids Optimization Smart power grids Binary gradients Efficient energy management Energy Energy scheduling Gradient descent algorithms Integrated microgrid Microgrid Optimal schedule Renewable energy integrations Renewable resource Energy management
spellingShingle	Efficient Energy Management Energy Scheduling Gradient Descent Algorithm Integrated Microgrids Renewable Energy Integration Renewable Resources Distributed power generation Electric loads Energy efficiency Energy utilization Gradient methods Microgrids Optimization Smart power grids Binary gradients Efficient energy management Energy Energy scheduling Gradient descent algorithms Integrated microgrid Microgrid Optimal schedule Renewable energy integrations Renewable resource Energy management Abdolrasol M.G.M. Ker P.J. Hannan M.A. Ayob A. Tiong S.K. Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
description	This paper presents a new optimal controller using the Binary Gradient Descent (BGD) algorithm to manage distributed generations effectively in a grid network. The algorithm aims to minimize power consumption from the main grid and prioritize sustainable resource utilization over buying electricity from the local network grid. The proposed approach is evaluated on the IEEE fourteen bus test system with integrated Microgrids (MGs) and distributed generations, using real load demand data from Perlis, Malaysia, for 24-hour test case studies. Weather data, including wind, solar, fuel, and battery status, is integrated into the BGD algorithm for optimizing ON and OFF schedules. The results demonstrate a significant 46.3% reduction in energy consumption achieved by the BGD algorithm, contributing to the advancement of optimization algorithms for sustainable energy management. The developed BGD algorithm's effectiveness is further validated through a comparative analysis with conventional methods. � 2023 IEEE.
author2	35796848700
author_facet	35796848700 Abdolrasol M.G.M. Ker P.J. Hannan M.A. Ayob A. Tiong S.K.
format	Conference Paper
author	Abdolrasol M.G.M. Ker P.J. Hannan M.A. Ayob A. Tiong S.K.
author_sort	Abdolrasol M.G.M.
title	Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
title_short	Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
title_full	Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
title_fullStr	Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
title_full_unstemmed	Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm
title_sort	energy management in integrated microgrids: an optimal schedule controller utilizing gradient descent algorithm
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2024
_version_	1814061179560001536
score	13.222552

Energy Management in Integrated Microgrids: An Optimal Schedule Controller Utilizing Gradient Descent Algorithm

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