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

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posted on 22.02.2019 by Xinruo Zhang, Mohammad R. Nakhai, Gan Zheng, Sangarapillai Lambotharan, Jonathon Chambers
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.

Funding

This work was supported in part by the UK EPSRC under Grant EP/N007840/1 and in part by the Leverhulme Trust under Grant RPG-2017-129.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Vehicular Technology

Citation

ZHANG, X. ... et al, 2019. Distributed foresighted energy management in smart-grid-powered cellular networks. IEEE Transactions on Vehicular Technology, 68 (4), pp.4064-4068

Publisher

© IEEE

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Acceptance date

09/02/2019

Publication date

2019-02-18

Notes

This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/

ISSN

0018-9545

eISSN

1939-9359

Language

en

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