Journal of Shanghai Jiao Tong University ›› 2023, Vol. 57 ›› Issue (4): 432-441.doi: 10.16183/j.cnki.jsjtu.2021.477

Special Issue: 《上海交通大学学报》2023年“新型电力系统与综合能源”专题

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Power System Planning Considering Demand Response Resources and Capacity Value of Energy Storage

HUANG Yuanming1, ZHANG Yuxin2(), XIA Zanyang2, WANG Haohao1, WU Mingxing1, WANG Ning1, CHEN Qing1, ZHU Tao1, CHEN Xinyu2   

  1. 1. Guangdong Power Exchange Center Co., Ltd., Guangzhou 510600, China
    2. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2021-12-01 Revised:2022-05-13 Accepted:2022-05-16 Online:2023-04-28 Published:2023-05-05

Abstract:

The access of a high proportion of renewable energy has posed new challenges to the supply reliability of the power system. The system must have sufficient capacity credit to cope with the output fluctuation and randomness of renewable energy. Due to the nonlinear relationship between energy storage capacity credit and power planning results, it is difficult to establish accurate capacity adequacy constraints for traditional power planning methods. Therefore, a generation expansion model is established, in which thermal power, renewable energy, energy storage, and demand response resources are incorporated, with the full-year hourly production simulation to ensure adequate operation flexibility and improved capacity adequacy constraint to incorporate the capacity value of energy storage and demand response resources. An iterative algorithm is designed to solve the nonlinear problem of energy storage capacity credit, and the validity of the model is verified by some regional grid in China. The results show that in the high-proportion renewable energy system, the system capacity is surplus, and the main factor affecting the system cost is the flexibility constraint. The introduction of a small amount of demand response resources can greatly reduce the system cost, which provides new ideas for power system planning at a high proportion of renewable energy.

Key words: power system planning, renewable energy, capacity credit, demand response, energy storage

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