TY - GEN
T1 - Day-Ahead Scheduling Optimization for Hydrogen and Battery Hybrid Energy Storage System Considering Wind Power Frequency Regulation Demands
AU - Xiong, Ke
AU - Zhang, Xueguang
N1 - Publisher Copyright:
© Beijing Paike Culture Commu. Co., Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - In the process of clean energy development, the installed capacity of wind power has been rising continuously, which puts great pressure on the frequency stability of the power system. Advance scheduling by means of wind power prediction to make the grid frequency more stable is a feasible solution to cope with this pressure. In order to make the frequency regulation more efficient, this paper proposes a day-ahead scheduling optimization method for hydrogen battery hybrid energy storage system. First, the demand for frequency regulation is quantified. Using the discrete Fourier transform, the capacity demand for different time scales of standby types caused by the system prediction error is quantified for that time period of the scenario. The operation models of the wind storage plant and electrolyzer are established, and the optimization model of the hydrogen battery hybrid energy storage system for the day-ahead FM auxiliary service is established by considering the grid FM demand. Finally, the effectiveness of the model is verified by means of simulation verification.
AB - In the process of clean energy development, the installed capacity of wind power has been rising continuously, which puts great pressure on the frequency stability of the power system. Advance scheduling by means of wind power prediction to make the grid frequency more stable is a feasible solution to cope with this pressure. In order to make the frequency regulation more efficient, this paper proposes a day-ahead scheduling optimization method for hydrogen battery hybrid energy storage system. First, the demand for frequency regulation is quantified. Using the discrete Fourier transform, the capacity demand for different time scales of standby types caused by the system prediction error is quantified for that time period of the scenario. The operation models of the wind storage plant and electrolyzer are established, and the optimization model of the hydrogen battery hybrid energy storage system for the day-ahead FM auxiliary service is established by considering the grid FM demand. Finally, the effectiveness of the model is verified by means of simulation verification.
KW - Day-Ahead Scheduling
KW - Frequency Regulation
KW - Hybrid Energy Storage System
KW - Wind power
UR - https://www.scopus.com/pages/publications/85211948896
U2 - 10.1007/978-981-97-8832-3_31
DO - 10.1007/978-981-97-8832-3_31
M3 - 会议稿件
AN - SCOPUS:85211948896
SN - 9789819788316
T3 - Lecture Notes in Electrical Engineering
SP - 311
EP - 318
BT - The Proceedings of the 11th Frontier Academic Forum of Electrical Engineering (FAFEE2024)
A2 - Yang, Qingxin
A2 - Li, Jian
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th Frontier Academic Forum of Electrical Engineering, FAFEE 2024
Y2 - 20 June 2024 through 22 June 2024
ER -