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Peer to Peer Energy Trading with Sustainable User Participation: A Game Theoretic Approach

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Journal 01 Jan 2018Embargo end date: 01 Jan 2018 Australia Publisher:Applied Energy Innovation Institute (AEii)Journal:IEEE Access, volume 6, pages 62,932-62,943 (eissn: 2169-3536,

Authors: Wayes Tushar; Tapan Kumar Saha; Chau Yuen; Paul Liddell; Richard Bean; H. Vincent Poor;

doi: 10.46855/2020.06.30.15.16.131967 , 10.1109/access.2018.2875405 , 10.48550/arxiv.1809.11034

arXiv: http://arxiv.org/abs/1809.11034 , 1809.11034

Peer to Peer Energy Trading with Sustainable User Participation: A Game Theoretic Approach

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Abstract

This paper explores the feasibility of social cooperation between prosumers within an energy network in establishing their sustainable participation in peer-to-peer (P2P) energy trading. In particular, a canonical coalition game (CCG) is utilized to propose a P2P energy trading scheme, in which a set of participating prosumers form a coalition group to trade their energy, if there is any, with one another. By exploring the concept of the core of the designed CCG framework, the mid-market rate is utilized as a pricing mechanism of the proposed P2P trading to confirm the stability of the coalition as well as to guarantee the benefit to the prosumers for forming the social coalition. The paper further introduces the motivational psychology models that are relevant to the proposed P2P scheme and it is shown that the outcomes of proposed P2P energy trading scheme satisfy the discussed models. Consequently, it is proven that the proposed scheme is consumer-centric that has the potential to corroborate sustainable prosumers participation in P2P energy trading. Finally, some numerical examples are provided to demonstrate the beneficial properties of the proposed scheme.

11 pages, 3 figures, 1 table

Country

Australia

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Keywords

game theory, FOS: Computer and information sciences, Computer Science - Computer Science and Game Theory, Psychology, motivational psychology, Peer-to-peer computing, Microgrids, consumer-centric, 2500 Materials Science, Australia, Biological system modeling, 381, social cooperation, Power system stability, TK1-9971, 2200 Engineering, 1700 Computer Science, Peer-to-peer trading, Electrical engineering. Electronics. Nuclear engineering, Games, Computer Science and Game Theory (cs.GT)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	174
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%