Distributed foresighted energy management in smart-grid-powered cellular networks

This paper studies energy management in a smart grid-powered cellular network consisting of an independent system operator (ISO) and multiple geographically distributed aggregators. The aggregators have energy storage devices and can purchase energy from the electric grid via the ISO to serve their...

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Main Authors:	Xinruo Zhang, Mohammad R. Nakhai, Gan Zheng, Sangarapillai Lambotharan, Jonathon Chambers
Format:	Default Article
Published:	2019
Subjects:	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/36952
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id	rr-article-9565457
record_format	Figshare
spelling	rr-article-95654572019-02-18T00:00:00Z Distributed foresighted energy management in smart-grid-powered cellular networks Xinruo Zhang (4950559) Mohammad R. Nakhai (7212815) Gan Zheng (2546086) Sangarapillai Lambotharan (1252278) Jonathon Chambers (7121624) Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified This paper studies energy management in a smart grid-powered cellular network consisting of an independent system operator (ISO) and multiple geographically distributed aggregators. The aggregators have energy storage devices and can purchase energy from the electric grid via the ISO to serve their users. To account for the uncertainty of the renewable energy supply as well as the impacts of multiple aggregators on the electric grid and energy prices, a foresighted strategy combined with the adaptive ϵ -greedy method is developed for the aggregators to distributively and adaptively minimize the long-term overall cost of the system based on the ahead-of-time decision making of the storage pre-charging amount. Simulation results validate that the proposed strategy surpasses a recent learning-based storage management design and a myopic design. 2019-02-18T00:00:00Z Text Journal contribution 2134/36952 https://figshare.com/articles/journal_contribution/Distributed_foresighted_energy_management_in_smart-grid-powered_cellular_networks/9565457 CC BY 3.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified untagged Mechanical Engineering not elsewhere classified Xinruo Zhang Mohammad R. Nakhai Gan Zheng Sangarapillai Lambotharan Jonathon Chambers Distributed foresighted energy management in smart-grid-powered cellular networks
description	This paper studies energy management in a smart grid-powered cellular network consisting of an independent system operator (ISO) and multiple geographically distributed aggregators. The aggregators have energy storage devices and can purchase energy from the electric grid via the ISO to serve their users. To account for the uncertainty of the renewable energy supply as well as the impacts of multiple aggregators on the electric grid and energy prices, a foresighted strategy combined with the adaptive ϵ -greedy method is developed for the aggregators to distributively and adaptively minimize the long-term overall cost of the system based on the ahead-of-time decision making of the storage pre-charging amount. Simulation results validate that the proposed strategy surpasses a recent learning-based storage management design and a myopic design.
format	Default Article
author	Xinruo Zhang Mohammad R. Nakhai Gan Zheng Sangarapillai Lambotharan Jonathon Chambers
author_facet	Xinruo Zhang Mohammad R. Nakhai Gan Zheng Sangarapillai Lambotharan Jonathon Chambers
author_sort	Xinruo Zhang (4950559)
title	Distributed foresighted energy management in smart-grid-powered cellular networks
title_short	Distributed foresighted energy management in smart-grid-powered cellular networks
title_full	Distributed foresighted energy management in smart-grid-powered cellular networks
title_fullStr	Distributed foresighted energy management in smart-grid-powered cellular networks
title_full_unstemmed	Distributed foresighted energy management in smart-grid-powered cellular networks
title_sort	distributed foresighted energy management in smart-grid-powered cellular networks
publishDate	2019
url	https://hdl.handle.net/2134/36952
_version_	1797098584336760832

Distributed foresighted energy management in smart-grid-powered cellular networks

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