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

被引：3

作者：

Zhao, Zehua ^{[1
]}

Luo, Fengji ^{[1
]}

Yang, Jiajia ^{[2
]}

Ranzi, Gianluca ^{[1
]}

机构：

[1] Univ Sydney, Sch Civil Engn, Sydney, NSW, Australia

[2] Zhejiang Univ, Sch Elect Engn, Hangzhou, Peoples R China

来源：

2022 IEEE SUSTAINABLE POWER AND ENERGY CONFERENCE (ISPEC) | 2022年

基金：

澳大利亚研究理事会;

关键词：

Peer-to-peer energy trading; distributed energy resources; social network; demand side management; ELECTRICITY; PAY;

D O I：

10.1109/iSPEC54162.2022.10033044

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：5

共 15 条

[1] Determining the optimal trading price of electricity for energy consumers and prosumers [J].