Affiliation:
1. College of Information Engineering Zhejiang University of Technology Hangzhou China
2. College of Science and Engineering James Cook University Townsville Queensland Australia
3. Department of Electrical Engineering Zhejiang University Hangzhou China
Abstract
AbstractThe wide deployment of distributed energy resources, combined with a more proactive demand‐side management, is boosting the emergence of the peer‐to‐peer market. In the present study, an innovative peer‐to‐peer energy trading model is introduced, enabling a group of price‐setting prosumers to engage in direct negotiations via a straightforward best‐response approach. A Nash equilibrium problem (NEP) is initially formulated and a sufficient condition for the unique solution of the NEP is derived. Afterwards, an asynchronous and convergence‐fast solving method is employed to determine the trading quantity and price. The efficiency and resilience of the presented method are demonstrated through a comprehensive case study.
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)