A Peer-to-Peer Energy Trading System Considering Participants' Social Relationships and Multi-class Preferences

Conference Publication ResearchOnline@JCU
Zhao, Zehua;Luo, Fengji;Yang, Jiajia;Ranzi, Gianluca
Jiajia Yang
Abstract

Widespread deployment of distributed renewable energy sources drives the emergence of the Peer-to-Peer (P2P) energy trading paradigm, which refers to the scenario that energy entities in low-voltage distribution networks trade energy with each other. This paper presents a new system that facilitates P2P energy trading based on both the economic profit/cost and non-economic considerations of the participants. The latter includes the social relationships among the participants and their multi-class energy trading preferences, which are represented by a social network model. Based on this, bidding strategies and market operation mechanisms are developed to support the formation of P2P energy trading transactions. Simulation based on the real-world social media data is conducted to validate the effectiveness of the proposed system.

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Publication Name

iSPEC 2022: IEEE Sustainable Power and Energy Conference

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ISBN/ISSN

9781665485227

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Pages Count

5

Location

Perth, WA, Australia

Publisher

Institute of Electrical and Electronics Engineers

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Publisher Location

Piscataway, NJ, USA

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DOI

10.1109/iSPEC54162.2022.10033044