电力系统自动化2025，Vol.49Issue(21)：195-207,13.DOI:10.7500/AEPS20241012003
基于前馈-反馈混合控制的新能源场站精益安全稳定控制系统
Lean Security and Stability Control System for Renewable Energy Farms and Stations Based on Feedforward-Feedback Hybrid Control
摘要
Abstract
On the background of the new power system,conventional faults may lead to large-scale renewable energy fault ride-through and trip-off incidents.The traditional security and stability control system(SSCS)relies on the event-driven feedforward control with relatively coarse measures,which are insufficient for quickly identifying the transient operation conditions of renewable energy sources and optimizing the control measures.This may result in the deviation between the effects of security and stability control and expectations.In the context of the new power system,the formulation and implementation of security and stability control strategies need to consider the uncertainties in the transient process of renewable energy sources,as well as the urgent need for quick perception and precise control of large-scale control objects by security and stability control devices.The autonomous identification technologies for the states of renewable energy units and the generation method of lean control strategies are investigated.The design principles,functional architecture,and technical solution schemes for reliable communication of the SSCS for renewable energy farms and stations that support feedforward-feedback hybrid control are proposed.Furthermore,a complete set of SSCS equipment for renewable energy farms and stations is developed,tested,and verified.The system has been used in the Gansu power grid of China since May 2022 and has achieved large-scale application in the Northwest China power grid,achieving remarkable results.关键词
新能源/新型电力系统/安全/稳定/前馈/反馈/精益控制/故障穿越Key words
renewable energy/new power system/security/stability/feedforward/feedback/lean control/fault ride-through引用本文复制引用
颜云松,薛禹胜,唐冠军,薛峰,邵冲,侯玉强..基于前馈-反馈混合控制的新能源场站精益安全稳定控制系统[J].电力系统自动化,2025,49(21):195-207,13.基金项目
国家重点研发计划资助项目(2021YFB2400500). This work is supported by National Key R&D Program of China(No.2021YFB2400500). （2021YFB2400500）
