A Flexible Resource Planning Model Considering Balance between Power Supply and Renewable Energy Consumption

Power system with a high proportion of renewable energy (RE) access usually faces the problem of insufficient flexibility adjustment, resulting in a large number of power abandonment and shortage. To enhance the flexibility of the future power system, this paper proposes a source/load/storage flexible resource planning model based on mixed integer linear programming (MILP) to determine the capacity needs of various flexible resources, under the premise of ensuring balance between power supply and RE consumption. Considering various flexibility resources, the proposed model makes overall and coordinated planning for thermal generator (TG) flexibility transformation, peak shaving/valley filling demand response (DR), and energy storage (ES). Meanwhile, to ensure the reliability of power supply, the reserve capacity of the system and the bidirectional requirement of system adjustment are also considered in the constraint. Finally, based on the simulation study of provincial power system, the results show that with the increase of RE capacity, the flexibility resources can effectively reduce the power shortage rate and power abandonment rate.