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Regular Paper | Open Access

Market-based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model

Guoqiang SunJinghong SunSheng Chen ( )Zhinong WeiHangxiang Zang
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
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Abstract

The increasing penetration of distributed energy sources in electric power and natural gas distribution networks in recent years has led to a shift from the conventional centralized trading mode to decentralized trading. However, current decentralized energy trading developments, such as those based on the peer-to-peer (P2P) paradigm, have mainly focused on electric power grids, while regional integrated energy systems coupled by multiple energy sources are currently restricted to centralized scheduling generally. This present work addresses this issue by developing a P2P market transaction model for regional integrated energy systems. First, the privacy of each participating agent is preserved by conducting a trade matching process between producers and consumers, and the P2P trading strategy is constructed. Then, the feasibility of the obtained trading strategy is confirmed by the operation center of the regional integrated energy system by conducting collaborative optimization scheduling based on the P2P energy trading results. Moreover, the locational marginal price is employed to calculate the P2P network usage charge. This charge is then equally distributed between producers and consumers to incentivize balanced utilization of the distribution network and ensure equitable benefits from P2P transactions. The effectiveness and superiority of the proposed P2P trading framework are demonstrated based on numerical results obtained for realistic regional integrated electric and natural gas systems.

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CSEE Journal of Power and Energy Systems
Pages 1370-1379

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Cite this article:
Sun G, Sun J, Chen S, et al. Market-based Coordination of Regional Electric and Natural Gas Systems: Peer-to-Peer Energy Trading Model. CSEE Journal of Power and Energy Systems, 2025, 11(3): 1370-1379. https://doi.org/10.17775/CSEEJPES.2021.03970

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Received: 23 May 2021
Revised: 15 July 2021
Accepted: 17 August 2021
Published: 06 May 2022
© 2021 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).