Research on Load Transfer of Greenhouse Based on Blockchain

In order to overcome the low utilization rate of the greenhouse electric energy, avoid difference between peak and valley load is too high. The paper proposes an optimization model of greenhouse load transfer based on blockchain. This model establishes an optimal regulation model based on the minimum difference between the peak and valley loads of the greenhouse as the objective function, and uses the simulated annealing algorithm to solve the model. Through the PBFT consensus mechanism of the blockchain, distributed computation are carried out on the electricity nodes of the greenhouse, and the scheduling scheme is optimized for the second time. The experimental results show that compared with the traditional load transfer model, the method proposed in this paper can reduce the load peak-valley difference by 20% and increase the load factor by 4%. Improve the stability of greenhouse power system, and provides theoretical support for power dispatch problems.