Multi-Objective Optimization of Park Integrated Energy System Considering Time-of-Use Price Incentives

To more fully harness user-side demand response and obtain a rational equilibrium solution for multi-objective optimization., this paper proposes a multi-objective optimization method for park-level integrated energy system that considers time-of-use price incentives. Firstly., a demand response model under time-of-use price is established based on the traditional fixed-price demand response model. Then., to further exploit the potential of the user side., a multi-objective optimization model is developed that considers the variance of load curves on the user side in addition to the system-side optimization objectives of operating cost and carbon emission. Secondly., based on non-cooperative game theory., these three optimization objectives are treated as virtual players in a non-cooperative game model. The model is linearized., further reconstructed into a global optimization model., and thus., facilitates obtaining a global optimal solution. Finally., the results of case analysis demonstrate that the proposed method can achieve rational equilibrium solutions and fully leverage the potential of the user side.