Research on improved consensus based on multivirtual power plant trading system

Ying Cai; Li Wang; Yang Zhang; Qian Ai

doi:10.1117/12.3024482

13 May 2024 Research on improved consensus based on multivirtual power plant trading system

Ying Cai, Li Wang, Yang Zhang, Qian Ai

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315974 (2024) https://doi.org/10.1117/12.3024482
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

With the development of distributed energy resources, virtual power plants are faced with significant data impacts during inter-plant interactions. Therefore, it is crucial to explore interaction modes suitable for inter-plant distributed resource trading scenarios and develop corresponding trust systems. Blockchain technology’s characteristics of data distribution, high transparency, and decentralization provide coping mechanisms for distributed energy transactions in a weak trust environment. In this paper, an overall architecture of a multi-virtual power plant transaction system is proposed, outlining the transaction process of multi-virtual power plants. To address inter-plant and on-site trading scenarios of multi-virtual power plants, the main subordinate chain mode is presented and a cross-chain channel through the main side anchoring technology is constructed in this paper. This approach enables a multi-chain collaborative operation mode. To enhance the system’s operational efficiency, nodes are classified based on their different functions, and a differentiated credit evaluation mechanism is designed for them. The practical Byzantine fault-tolerant algorithm is improved with this index. Finally, the effectiveness of the improved consensus algorithm through experiments conducted on the proposed system architecture is verified.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ying Cai, Li Wang, Yang Zhang, and Qian Ai "Research on improved consensus based on multivirtual power plant trading system", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315974 (13 May 2024); https://doi.org/10.1117/12.3024482

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