1.兰州交通大学 自动化与电气工程学院,甘肃 兰州 730070
2.兰州交通大学 新能源与动力工程学院,甘肃 兰州 730070
陈晓婧(1988 —),女,副教授,博士研究生,主要研究方向为电力系统频率稳定分析与控制(E-mail:chenxiaojing@ mail.lzjtu.cn);
董海鹰(1966 —),男,教授,博士,通信作者,主要研究方向为新能源发电控制与优化技术、电力系统运行控制(E-mail:hydong@mail.lzjtu.cn);
车玉龙(1988 —),男,副教授,博士,主要研究方向为牵引供电系统与新型电力系统相互作用、交通能源融合技术(E-mail:cylg717@163. com)。
收稿:2025-06-18,
修回:2025-12-17,
网络首发:2026-04-17,
纸质出版:2026-07-10
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陈晓婧,董海鹰,车玉龙.基于最优控制原理的风-直-储短时频率支撑控制策略[J].电力自动化设备,2026,46(07):87-96.
Chen Xiaojing,Dong Haiying,Che Yulong.Short-term frequency support control strategy of wind turbine-VSC-HVDC-energy storage based on optimal control principle[J].Electric Power Automation Equipment,2026,46(07):87-96.
陈晓婧,董海鹰,车玉龙.基于最优控制原理的风-直-储短时频率支撑控制策略[J].电力自动化设备,2026,46(07):87-96. DOI: 10.16081/j.epae.202604009.
Chen Xiaojing,Dong Haiying,Che Yulong.Short-term frequency support control strategy of wind turbine-VSC-HVDC-energy storage based on optimal control principle[J].Electric Power Automation Equipment,2026,46(07):87-96. DOI: 10.16081/j.epae.202604009.
针对直流受端系统转动惯量低、调频能量有限引起的频率稳定问题,提出一种计及风-直-储系统参与短时频率支撑的分层控制策略。在频率下降阶段,设计双层优化控制:上层控制以改善系统频率特性为优化目标,考虑调频功率和调频能量约束,构建频率最优控制模型,求解得到风-直-储系统的最优功率控制曲线;下层控制以风-直-储系统的运行稳定性和经济性为优化目标,构建功率分配优化模型,基于模型预测控制求解得到风机、柔性直流和储能的有功功率控制指令。在频率恢复阶段,设计风机转子转速快速恢复策略,将风机转速恢复至初始值的同时,确保系统频率不发生二次跌落。算例仿真结果表明,所提控制策略可以有效改善系统的频率稳定性,实现控制功率的合理分配。
Aiming at the frequency stability problem caused by the low rotational inertia and limited frequency regulation energy of the DC receiving-end system,a hierarchical control strategy considering the participation of wind turbine-voltage source converter based high voltage direct current(VSC-HVDC)-energy storage system in short-term frequency support is proposed. During the frequency drop stage,a two-layer optimization control is designed. The upper-layer control takes improving the system frequency characteristics as the optimization objective. Considering the constraints of frequency regulation power and energy,a frequency optimal control model is constructed,and the optimal power control curves of wind turbine-VSC-HVDC-energy sto-rage system are derived through solving the model. The lower-layer control takes the operational stability and economic efficiency of the wind turbine-VSC-HVDC-energy storage system as the optimization objectives,and establishes a power allocation optimization model. Based on model predictive control,the active power control commands for wind turbine,VSC-HVDC and energy storage are obtained by solving the model. During the frequency recovery stage,a rapid recovery strategy for the wind turbine rotational speed is designed to restore the wind turbine speed to its initial value while ensuring that no secondary frequency drop occurs in the system. The simulative results of case study show that the proposed control strategy can effectively improve the frequency stability of the system and achieve a reasonable distribution of control power.
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