Day-Ahead Optimal Scheduling of Integrated Energy Systems for User-Side Flexible Load

Based on the energy hub framework, this paper constructs a mathematical model of community-level electric-thermal integrated energy system. The model integrates the energy storage system, the gas turbine power generation unit and the flexible electric / thermal load on the user side, and fully considers the influence of the shiftable, transferable and reducible characteristics of the flexible load on the system scheduling flexibility. Aiming at minimizing the total operating cost of the system, a day-ahead optimal scheduling model of electric-thermal coupling is established, and the Cplex solver in the Yalmip toolbox is used to solve the problem in the Matlab environment. By comparing the optimization results under the independent scheduling and cooperative scheduling modes, the influence of flexible load participation interaction on the system operation is analyzed. The simulation results show that the economy is improved : the electric-thermal cooperative scheduling mode can significantly reduce the system operation cost compared with the independent scheduling ; load balancing optimization : the flexible adjustment of flexible electric / heat load effectively reduces the peak-valley difference of load and alleviates the pressure of energy consumption during peak hours ; renewable energy consumption : The coordinated optimization of energy storage and flexible load further improves the utilization rate of intermittent renewable energy such as wind power and photovoltaic. This study provides theoretical support for the optimal scheduling of community integrated energy systems, and verifies the synergistic value of multi-energy complementarity and demand-side response.