Rolling Optimization Operation Strategy of Energy Storage System Considering Multiple Application Scenarios

Abstract

As the proportion of renewable energy in the power system continues to increase, energy storage is widely used in the grid to absorb renewable energy. However, the traditional energy storage operation strategy is less efficient. To improve the utilization rate of energy storage, this paper proposes a method for the energy storage system (ESS) to participate in the joint operation of multiple application scenarios after participating in the grid dispatching and establishes an optimal operation model for day-ahead and intra-day. In the day-ahead stage, dispatching plan with the goal of minimizing power grid operation cost is made, and the ESS’s output plan is made based on the electricity price while considering the aging cost of battery; Then, the remaining capacity of ESS participates in bidding in the energy market, frequency regulation market, and reserve market; In the intra-day stage, dispatching is based on the Model Predictive Control (MPC) algorithm considering the constraint of the ESS’s day-ahead bid value. In this model, the market bid value of ESS is more effectively used compared with the classic MPC algorithm. Case studies are carried out on the IEEE33 bus system, the result verifies the economy and effectiveness of the proposed model.