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Regular Paper | Open Access

P2P Energy Trading Considering Prosumer Preference and System Risk

Xinyu He, Ping Dong( ), Mingbo Liu, Xuewei Huang, Wenli Deng, Ruijin He
School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
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Abstract

As an important means of mobilizing demand-side resources, peer-to-peer (P2P) energy trading has drawn more and more attention from scholars. This paper constructs a P2P energy trading framework considering prosumers’ trading partner preferences (TPPs) and system risk. At first, we build the P2P trading models of prosumers equipped with different distributed energy resources (DERs), and TPP models. Secondly, to solve the established energy trading problem, a fully distributed double-consensus alternating direction method of multipliers (DC-ADMM) is proposed, which can achieve transaction consensus when considering market players’ TPPs. Then, a risk-based security constrained economic dispatch (RB-SCED) model based on AC power flow is established for the first time, by which a distribution system operator (DSO) checks system security and obtains risk-based locational marginal prices (RLMPs). Moreover, double-regulated price signals related to RLMPs which contain grid utilization prices (GUPs) and DSO’s retail prices realize management of players’ transactions. In the end, the proposed method is applied to an IEEE33 bus distribution system. Results show the proposed method effectively reduces system risk and ensures secure operation of system without direct management.

Keywords

Double-consensus ADMMgrid utilization priceprice signalrisk-based locational marginal pricetrading partner preference

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CSEE Journal of Power and Energy Systems
Volume 10 Issue 3,
May 2024
Pages 1179-1194
DOI: 10.17775/CSEEJPES.2021.06870
Cite this article:
He X, Dong P, Liu M, et al. P2P Energy Trading Considering Prosumer Preference and System Risk. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1179-1194. https://doi.org/10.17775/CSEEJPES.2021.06870

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Received: 14 September 2021
Revised: 17 November 2021
Accepted: 27 December 2021
Published: 18 August 2022
© 2021 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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