电力系统及其自动化学报2025,Vol.37Issue(9):45-55,11.DOI:10.19635/j.cnki.csu-epsa.001650
考虑虚拟惯量支撑的新能源基地储能两阶段优化配置
Two-stage Optimal Configuration of Energy Storage in New Energy Bases Considering Virtual Inertia Support
摘要
Abstract
Large-scale new energy bases have the dual problems of insufficient system inertia and lack of thermal power frequency support,leading to a significant increase in the risk of frequency instability.In view of the above problems,a mathematical model for the virtual synchronous inertia of wind,solar and storage is established at first.The inertia con-stant is dynamically adjusted according to the new energy fluctuations,so as to realize the adaptive matching between the inertia support strength and system output.On this basis,a hybrid control strategy for large-scale new energy bases integrating the inertia response and primary frequency modulation response is proposed based on the different character-istics under grid-forming and grid-following control strategies.Furthermore,a two-stage optimal configuration method in-tegrating DC flexible operation and transient frequency stability constraints is put forward.In the steady-state optimiza-tion layer,the constraints of DC operation stepping and new energy output characteristics are embedded with an objec-tive of minimizing the cost of energy storage planning.In the transient calibration layer,frequency stability constraints are constructed,and the configuration scheme is dynamically corrected through the inertia demand feedback.The re-search results show that increasing the proportion of grid-forming wind farms can reduce the storage power configuration demand by 13.1%maximally,and improving the flexibility of DC operation can significantly reduce the storage capaci-ty configuration,thus reducing the investment demand for energy storage.关键词
虚拟同步惯量/频率响应/大型新能源基地/储能配置/直流外送Key words
virtual synchronous inertia/frequency response/large-scale new energy base/energy storage configura-tion/DC outflow分类
信息技术与安全科学引用本文复制引用
李清,陈培渊,徐智华,盛浩..考虑虚拟惯量支撑的新能源基地储能两阶段优化配置[J].电力系统及其自动化学报,2025,37(9):45-55,11.基金项目
中国南方电网有限责任公司科技项目(CGYKJXM20220207). (CGYKJXM20220207)