Optimal operation of integrated energy system considering user interaction

Abstract

Integrated energy system(IES) can directly provide users with various forms of energy such as cool, heat and electric power. Most previous studies on IES optimal operation only take user load as a fixed constraint condition for optimal operation. An IES optimized operation mode was proposed in this paper that considers users' preferences and interactions. By fully exploiting the electrothermal and electric refrigeration capacity of the user side and the price elasticity of the user's various loads, the power station can mobilize the user's willingness to change the load structure by means of price incentive, so that the power station can obtain more benefits and reduce its dependence on the superior power grid. In this paper, a two-level optimization model is established to solve the overall optimization problem which is dominated by the power supply station and fully participated by the users. The energy price obtained by genetic algorithm optimization in upper level is the basic condition in lower level optimization. In the lower level, the maximum user satisfaction is the optimization goal, and the calculated user energy scheme is returned to the upper level as the basic condition for the income goal of the iterative optimization power station. The simulation results show that the optimization scheme and algorithm in this paper have significantly improved the user's satisfaction and the revenue of the power station.