Day-Ahead Optimal Scheduling of Electricity-Heat Microgrid Considering Demand Response

Aiming at the influence of fluctuation and randomness of new energy on microgrid operation, a microgrid system with multiple new energy power generation and energy coupling equipment is constructed, and an optimal scheduling strategy of electric heating microgrid considering demand response is proposed. Firstly, the mathematical model of each device is constructed. Secondly, the demand response is used to guide users to actively participate in load adjustment, so as to smooth the load curve. On this basis, a day-ahead optimal scheduling model is established with the objective of minimizing total operation cost. The simulation results show that the strategy can effectively improve the operational economy of microgrid.