School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China

The virtual power plant serves as an effective means of participating in electricity market transactions, providing ancillary services, and enabling peer-to-peer transactions through the aggregation and management of various demand-side resources. Addressing the issues such as information manipulation and privacy leakage during the transaction decision optimization process in the traditional virtual power plant, a distributed transaction decision optimization method based on the main-side blockchain structure is proposed. To incentivize the participation of aggregators in the peer-to-peer trading market, a peer-to-peer trading mechanism for virtual power plant aggregators with an adaptive pricing mechanism is designed. To resist dishonest aggregators from manipulating interaction information during the optimization process, an improved practical Byzantine fault tolerance consensus algorithm based on the main-side blockchain is proposed. Additionally, to further prevent privacy leakage resulting from information interaction, a message encryption and decryption algorithm based on Shamir’s secret sharing scheme is proposed. Finally, the superiority of the proposed method in terms of transaction decision optimization, manipulating resistance, and privacy preservation is verified through numerical analysis.

This work is supported by National Key R&D Program of China (No. 2021YFB2401203), the Youth Fund of National Natural Science Foundation of China (No. 52307133), and the Youth Fund of Tianjin Municipal Natural Science Foundation of China (No. 23JCQNJC01670).