Optimization of integrated energy systems considering demand response and real-time electricity price
GUI Peipei
LI Yu
Abstract：To address the challenges brought by the large-scale integration of electric vehicles(EVs)into the integrated energy system(IES),a real-time electricity price mechanism based on renewable energy and a two-layer collaborative optimization framework are constructed,and an improved multi-objective sunflower algorithm(IMOSFO)is proposed to solve this model.The results show that by coordinating the capacity configuration at the upper level with the charging and discharging strategies at the lower level,the annual economic cost of the system is reduced by 13%,carbon emissions and grid dependence are decreased by 31%,and the charging cost for users is reduced by 25%.This model can effectively enhance the consumption capacity of renewable energy and alleviate the impact of large-scale electric vehicle integration on the power grid.
Keywords：demand responsereal-time electricity priceintegrated energy systemtwo-layer optimizationsunflower algorithmelectric vehicle
Publication Date：2025-08-30
Online Publishing Date：2025-10-22(First online date of this platform, not the publication date of the document)
Pages：6( 22-27 )