电力系统自动化2026，Vol.50Issue(10)：34-46,13.DOI:10.7500/AEPS20250630011
基于多时间尺度变流器主动控制的储能电站故障穿越方法
Fault Ride-through Method of Energy Storage Power Stations Based on Multi-timescale Converter Active Control
摘要
Abstract
The inherent control delay of the energy storage converter,together with the relevant technical code requirements for positive-and negative-sequence reactive power injection,may cause both transient and steady-state overcurrent risks,respectively.It is prone to result in failure of fault ride-through.To address this issue,this paper proposes a fault ride-through method for energy storage power stations based on multi-timescale hierarchical control.In this method,the fault process is divided into the instantaneous scale and the short-term scale.On the instantaneous scale,a current-hysteresis-based insulated-gate bipolar transistor(IGBT)blocking method is adopted to suppress the inrush current before the controller responds.On the short-term scale,a multi-objective control framework incorporating negative-sequence reactive power regulation is developed to achieve software-based current limiting and code compliance.Through multi-timescale coordinated control,the current is suppressed throughout the entire fault process,while simultaneously mitigating active power oscillations and maximizing the utilization of converter capacity.Finally,a real-time digital simulation platform is used to build a simulation model of an energy storage power station in Guangdong,China,and the simulation results validate the effectiveness of the proposed strategy.关键词
储能电站/变流器/故障穿越/限流/有功功率振荡/无功调控Key words
energy storage power station/converter/fault ride-through/current limiting/active power oscillation/reactive power regulation引用本文复制引用
唐文虎,聂欣昊,韩天博,钱瞳,张禄亮,梁秀壮..基于多时间尺度变流器主动控制的储能电站故障穿越方法[J].电力系统自动化,2026,50(10):34-46,13.基金项目
广东省重点领域研发计划资助项目(2023B0909040003) （2023B0909040003）
广东省自然科学基金面上基金资助项目(2024A1515010572). This work is supported by Guangdong Provincial Key Area R&D Program of China(No.2023B0909040003)and Guangdong Provincial Natural Science Foundation of China(No.2024A1515010572). （2024A1515010572）
