Two-Level Optimization Model of Integrated Energy System Based on Dynamic Pricing Mechanism

The interests of integrated energy system operators and energy users in road transportation need a more reasonable pricing mechanism to achieve mutual benefit. Taking highway transportation energy system as the research object, this article proposes a two-level optimization model based on dynamic pricing mechanism. Firstly, A two-level optimization model of energy system operators and users, dominated by the size and order of equipment output, has been established. The Monte Carlo method is used to simulate the random load of electric vehicles for further scheduling. Then, a new dynamic pricing mechanism is constructed, with the upper level pricing based on the output of gas boilers, waste heat boilers, new energy, and gas turbines and their low-carbon characteristics. The lower level participates in the optimal scheduling of the upper level, based on price and its own economy. The model constantly updates the price and load distribution to achieve mutual benefit. CPLEX is used to iteratively solve the two-level programming model, and the joint optimal solution of the system is selected according to the joint optimal discrimination mechanism. The effectiveness of the model and method is verified through comparison with time-of-use electricity prices.