Optimal Allocation of Energy Storage Capacity for Photovoltaic Connected Traction Power Supply System Considering Real-time Control Strategy

In order to reduce the investment cost of energy storage in the traction power supply system, this paper considers the impact of the real-time control process of the energy storage system (ESS) on the size of the energy storage capacity. In conventional control strategies, the problem of incomplete load peak elimination and incomplete braking energy (BE) recovery can easily arise due to inflexible energy dispatch. To solve the above problems, a real-time control strategy of ESS based on fuzzy control is proposed. Under the guidance of this strategy, it can not only solve the problems in the traditional control strategy, but also reduce the energy storage capacity by rational utilization of energy storage capacity. In this paper, the optimal allocation capacity of energy storage is obtained by establishing an optimization model with the objective of maximizing comprehensive economic benefits. It is also compared with traditional control strategies as a way to observe the impact of improved energy storage real-time control strategy on the optimal allocation of energy storage capacity. Finally, the effectiveness of the proposed method is verified by experiments on the load data measured on a domestic line in a typical working day.