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.

PDF (Published Version) - Published Version Restricted to Repository staff only

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%
Downloads:	Total: 1 Last 12 Months: 1
	More Statistics