Research on the optimization mechanism of blockchain energy trading triangular model

Abstract

With the increasing demand for fair trading in the energy sector, the use of blockchain technology as a new model for energy trading has begun to come into the public eye. However, there are problems such as the lack of a third party to endorse, relatively low efficiency, and unreasonable distribution. The innovative integration of the dynamic proof of stake (PoS) mechanism and entropy regulation strategy in the energy trading sharding system was proposed to solve problems such as trust deficiency, low transaction efficiency and uneven energy distribution existing in traditional energy trading. In the optimized triangular model, verifiable random functions were adopted to select validators, and the staking weights were dynamically adjusted in combination with the real-time status of nodes and transaction activity. Quantify the distribution of equity using Shannon entropy and set a threshold to trigger redistribution. The Pareto frontier solution set for the three objectives of throughput, security and decentralization was solved through the NSGA. A mechanism was adopted to dynamically adjust the equity weight based on the real-time status of nodes and the activity level of energy transactions, effectively enhancing the efficiency and fairness of transaction verification. The regulation was introduced for quantification to reduce the uncertainty and chaos of the energy trading system, ensuring the rational allocation and efficient utilization of energy resources. The experimental results show that optimized system throughput and attack cost have been significantly improved. Meanwhile, the degree of decentralization has risen to 89%, and the overall performance has increased by 12.8 times. This scheme has advantages such as good transaction efficiency, security and energy conservation and consumption reduction, which is conducive to reducing energy transaction costs, enhancing the transparency and stability of the energy transaction market.