
Research Article
Research on Virtual Power Plant Trading Matching Mechanism Based on Blockchain Technology
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334291, author={Zhiwen Yu and Chaoyang Qiu and Zehao Wang and Qian AI}, title={Research on Virtual Power Plant Trading Matching Mechanism Based on Blockchain Technology}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={virtual power plant; trusted transaction; blockchain technology; hierarchical interaction; matching mechanism}, doi={10.4108/eai.19-5-2023.2334291} }
- Zhiwen Yu
Chaoyang Qiu
Zehao Wang
Qian AI
Year: 2023
Research on Virtual Power Plant Trading Matching Mechanism Based on Blockchain Technology
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334291
Abstract
As an energy management and control technology, virtual power plant technology is the key technology to achieve the dual-carbon goal. In the future new power system, the multi-agent trusted transaction in virtual power plant will be more complex and challenging. The features of blockchain technology, such as information security, distributed decision-making, smart contract and tamper-proof, provide a new idea for multi-subject trusted transactions of virtual power plants. This paper focuses on the benefits maximization formed by multiple aggregators of virtual power plants and the trustworthy transaction matching efficiency. First of all, based on blockchain technology and multi-agent system integration to establish a master multi-slave hierarchical interactive control architecture; Then, based on the non-cooperative static game model, we design a P2P trusted trade matching mechanism under the demand of peer-to-peer trade. Finally, the rationality and feasibility of the strategy proposed in this paper are verified by the example analysis, which effectively enhances the matching efficiency of multi-agent transactions, improves the VPP optimization allocation ability and the overall economy.