Research on Distributed Resource Peer-to-Peer Blockchain Trading Mechanism for Safety Oriented Distribution Network

In order to solve the influence of uncertainty on dispatch plan in integrated energy system, a multi-objective optimal scheduling method for integrated energy system under multiple uncertainties is proposed. Firstly, the interval mathematical method is adopted to describe the multiple uncertain factors such as coupling unit efficiency, user response rate and power substitution in the system. Secondly, considering the quality difference of energy in the process of production and conversion, in order to solve the influence of uncertainty on the dispatching plan in the integrated energy system, a multi-objective optimal scheduling method for the interval of the integrated energy system under multiple uncertainties is proposed. Firstly, the interval mathematical method is adopted to describe the multiple uncertain factors such as coupling unit efficiency, user response rate and power substitution in the system. Secondly, taking into account the quality difference of energy in the production conversion process, Taking into account the high-quality utilization of energy and the economy of system operation, optimize the system operation with the goal of the highest energy utilization efficiency and the lowest system operating cost; Finally, based on the interval multi-objective linear programming method, a interval multi-objective optimal scheduling model of the integrated energy system under multiple uncertainties is established. The numerical results show that the proposed multi-objective optimal scheduling model can take into account the system operation economy and energy utilization efficiency, and effectively improve the system's ability to cope with multiple uncertainties.