电力系统自动化2026，Vol.50Issue(16)：33-42,10.DOI:10.7500/AEPS20250513003
计及调频参数优化的新能源基地构网型电-氢储能规划
Grid-forming Electricity-Hydrogen Energy Storage Planning for Renewable Energy Base Considering Frequency Regulation Parameter Optimization
摘要
Abstract
Regarding the frequency security issues caused by lack of conventional power generation support in the remote renewable energy bases,this paper proposes an electricity-hydrogen energy storage planning model considering virtual inertia response and frequency regulation parameter optimization.It leverages the complementary advantages of fast inertia response of electric energy storage and long-term large-scale energy time-shifting of hydrogen energy storage.At the planning level,a grid-forming electricity-hydrogen energy storage allocation model in DC transmission scenarios is established.By analyzing the virtual inertia characteristics of hydrogen energy storage systems and electric energy storage systems,a multi-device collaborative inertia support model is formulated.At the operation level,for three safety indicators-maximum frequency deviation,rate of frequency change(RoCoF),and quasi-steady-state deviation-the virtual inertia time constant and primary frequency regulation coefficient of grid-forming control are dynamically optimized to maximize the frequency support capability of energy storage systems in various operation scenarios.Simulation studies based on a renewable energy base in Northwest China demonstrate that the proposed model improves frequency security indicators and reduces energy storage allocation costs through coordinated frequency regulation and adaptive parameter adjustment of electricity-hydrogen energy storage.关键词
新能源基地/构网控制/电-氢储能/频率安全/虚拟惯量Key words
renewable energy base/grid-forming control/electricity-hydrogen energy storage/frequency security/virtual inertia引用本文复制引用
张玉敏,高业豪,叶平峰,吉兴全,杨明,王成福..计及调频参数优化的新能源基地构网型电-氢储能规划[J].电力系统自动化,2026,50(16):33-42,10.基金项目
国家自然科学基金资助项目(52377108) （52377108）
中国博士后科学基金面上资助项目(2023M734092) （2023M734092）
山东省自然科学基金资助项目(ZR2023QE181). This work is supported by National Natural Science Foundation of China(No.52377108),China Postdoctoral Science Foundation(No.2023M734092),and Shandong Provincial Natural Science Foundation of China(No.ZR2023QE181). （ZR2023QE181）
