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Peer-to-peer energy trading for improving economic and resilient operation of microgrids

Lookup NU author(s): Nikolas Spiliopoulos, Dr Ilias Sarantakos, Dr Saman Nikkhah, Giorgos Gkizas, Professor Damian Giaouris, Professor Phil Taylor, Dr Neal WadeORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2022 The Authors. Peer-to-peer (P2P) energy exchange is a popular market mechanism which enables the transaction of energy in local communities. The advantages of this method for different stakeholders has been demonstrated in the literature. However, the effect of P2P energy exchange on economic and resilient operation of microgrids (MGs) has not been studied yet. This paper presents a P2P energy exchange framework for improving economic and resilient operation of MGs. The proposed method considers the synergistic benefits of system operator and end-users in terms of: a) economic benefit from participation in the market, b) system resilience improvement, c) battery lifetime improvement, and d) carbon emissions reduction. The proposed method optimizes the battery sizing and operation, while categorizing and prioritizing the end-users. In order to evaluate the effectiveness of the proposed method, it has been applied to four different geographical locations with various Time-of-Use tariff schemes, and is tested against different fault scenarios. The results show that the proposed method can improve the resilience up to 80%, while battery lifetime can be prolonged by 32%–37%.


Publication metadata

Author(s): Spiliopoulos N, Sarantakos I, Nikkhah S, Gkizas G, Giaouris D, Taylor P, Rajarathnam U, Wade N

Publication type: Article

Publication status: Published

Journal: Renewable Energy

Year: 2022

Volume: 199

Pages: 517-535

Print publication date: 01/11/2022

Online publication date: 08/09/2022

Acceptance date: 12/08/2022

Date deposited: 04/10/2022

ISSN (print): 0960-1481

ISSN (electronic): 1879-0682

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.renene.2022.08.061

DOI: 10.1016/j.renene.2022.08.061


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Funding

Funder referenceFunder name
520616336103
Enzen Global Solutions Ltd
EP/T021969/1

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