Scalable Peer-to-Peer Energy Trading System With Microgrid Coalitions

Widespread deployment of distributed renewable energy sources fosters the research and development of peer-topeer (P2P) energy trading systems. Despite the benefits this energy-sharing paradigm can bring to the stakeholders in modern energy systems, how to effectively facilitate energy trading among a large number of energy prosumers (producers-and-consumers) remains a non-trivial challenge. This paper proposes a new P2P energy trading system to support energy trading among prosumers located in geographically distributed microgrids. Backboned by a clustering mechanism that dynamically organizes the microgrids into multiple coalitions, the system can enable energy trading within a microgrid and among different microgrids, making it scalable to cater for the energy trading needs of widearea prosumers. Numerical simulation is conducted on an IEEE 33-bus benchmark distribution system to validate the proposed method.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/icsgge64667.2025.10985166
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Scalable Peer-to-Peer Energy Trading System With Microgrid Coalitions

Xiangyu Li, Fengji Luo, Julong Lan
Smart Grid Energy Management
article

Scalable Peer-to-Peer Energy Trading System With Microgrid Coalitions

Xiangyu Li, Fengji Luo, Julong Lan
article en

Abstract

Widespread deployment of distributed renewable energy sources fosters the research and development of peer-topeer (P2P) energy trading systems. Despite the benefits this energy-sharing paradigm can bring to the stakeholders in modern energy systems, how to effectively facilitate energy trading among a large number of energy prosumers (producers-and-consumers) remains a non-trivial challenge. This paper proposes a new P2P energy trading system to support energy trading among prosumers located in geographically distributed microgrids. Backboned by a clustering mechanism that dynamically organizes the microgrids into multiple coalitions, the system can enable energy trading within a microgrid and among different microgrids, making it scalable to cater for the energy trading needs of widearea prosumers. Numerical simulation is conducted on an IEEE 33-bus benchmark distribution system to validate the proposed method.

The University of Sydney (AU)
Australian Research Council
Affordable and clean energy
Openalex Percentile: Top 92%
Smart Grid Energy Management
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