Reserve Optimization Considering Reserve Deployment Process

With the continuous development of renewable energy power generation technologies such as wind and solar and the increasing popularity of renewable energy, the volatility and uncertainty in the system have significantly increased and are doubly superimposed. Therefore, requirements are not only imposed on the quantity of reserve but also on the response speed. Firstly, based on the traditional unit commitment model, this paper jointly considers the capacity reserve and ramping reserve of the power system and constructs a unit commitment model that takes into account the supply and demand constraints of both types of reserves simultaneously. Then, on the basis of this model, a reserve optimization model considering the reserve energy delivery process is proposed. Finally, a reliability cost model is established. Based on the cost-benefit/trade-off optimization concept, the optimal reserve capacity is determined through the trade-off between the reliability cost and the reserve cost. The model is transformed into a mixed-integer linear programming model that can be directly called by the commercial solver CPLEX, and the effectiveness of the model is verified by a modified IEEE 33-node distribution network.