An intelligent transaction model for energy blockchain based on diversity of subjects

Abstract

This paper mainly proposes an intelligent transaction strategy of energy blockchain, aiming to safeguard the transmission of energy flow and information flow between users. Considering the diversity of power users, the power sellers were divided into reliable supply type (RST), low consumption type (LCT), environmental-friendly type (EFT), and affordable price type (APT), while power buyers were split into peak shifting type (PST) and stable demand type (SDT). Then, the comprehensive evaluation value (CEV) was calculated for each type of subjects. On this basis, the transaction strategy was optimized with the goal of maximizing the matching satisfaction of the two sides of the transaction. After that, the blockchain technology was introduced to the power matching decision-making process. The power transactions were made transparent and secure by the smart contract and consensus mechanism. Example analysis shows that our method improves the proportion of clean energies in power market, and ensures the stable supply, cost effectiveness, resource saving, and environmental-friendliness of the energy market.