A Novel Generation Expansion Planning Method Considering Energy Storage Demand Assessment

• Published in: 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2) pp. 312 - 318
• Main Authors: Wang, Kai, Li, Xilan, Liu, Weihong, Zhang, Yanyan, Zhong, Xiaoyan, Wu, Zeyuan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.12.2023
• Subjects: energy storage system; generation expansion planning; Planning; Power grids; Power system reliability; Programming; renewable energy integration; Renewable energy sources; Resource management; System integration
• DOI: 10.1109/EI259745.2023.10512889

The large-scale integration of renewable energy sources (RES) has chanllenged the flexible operation of power systems. Considering the expansion of flexible resources in the power planning process is an important part of the rational allocation of flexible resources. As a kind of emerging flexible resource, energy storage systems (ESSs) will be able to efficiently replace the role of traditional peak-shaving units. In this paper, a generation expansion planning (GEP) method considering regional ESS capacity evaluation is proposed. Firstly, from the perspective of resource interconnection, the power grid is partitioned, and the chance-constrained programming method is used to evaluate the ESS capacity demand of the partition where RES is concentrated. Then it is input into the GEP model as a boundary condition to obtain the configuration capacity of different power plants. The proposed method is verified on the XJTU-ROTS test system, which proves the effectiveness of the ESS for the replacement of the traditional peaking power plants and the accuracy of the ESS capacity evaluation.