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

Zhao, Zehua, Luo, Fengji, Yang, Jiajia, and Ranzi, Gianluca (2022) A Peer-to-Peer Energy Trading System Considering Participants' Social Relationships and Multi-class Preferences. In: Proceedings of the IEEE Sustainable Power and Energy Conference. From: iSPEC 2022: IEEE Sustainable Power and Energy Conference, 4-7 December 2022, Perth, WA, Australia.

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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.

Item ID: 82469
Item Type: Conference Item (Research - E1)
ISBN: 9781665485227
Copyright Information: © 2022 IEEE
Funders: Australian Research Council (ARC)
Projects and Grants: ARC DP220103881
Date Deposited: 21 Mar 2024 02:40
FoR Codes: 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 100%
SEO Codes: 17 ENERGY > 1703 Energy storage, distribution and supply > 170309 Smart grids @ 100%
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