Research on Nearby Consumption of Renewable Energy and Electric Power User Matching Method Based on Energy Blockchain Technology

The research on renewable energy nearby consumption and optimal matching among power users has gotten more and more attention today. The characteristics of energy blockchain and its role in electric power trading are analyzed. The comprehensive index system is researched based on the energy attributes with the goal of achieving the optimal energy attributes and path selection. From the perspectives of the energy consumers and producers, a differentiated optimal matching strategy is designed. The corresponding operating strategy is also proposed from the perspective of the grid. The details such as contents in energy blockchain and process of negotiation of transactions are analyzed. The results show that the matching strategy can help the energy users match the optimal trading objects and promote the nearby consumption of renewable energy. After analyzing the relevant factors which affect the transactions, the results indicate that each user optimizes its own attributes and guarantees its credit can improve competitiveness in the blockchain network with lower cost and higher proportion of time-shiftable loads.