内蒙古电力集团责任有限公司乌兰察布供电公司
纸质出版:2026
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赵雪灏,贾建忠,冯轩,贾晓伟,王红全,韩林.支撑风电主动调频能力的风储控制技术研究[J].电力大数据,2026,29(07):7-8.
zhaoxuehao, jiajianzhong, fengxuan, et al. Research on wind storage control technology supporting wind power active frequency regulation capability[J]. 2026, 29(7): 7--.
随着风电渗透率不断提高,电力系统等效转动惯量持续下降,频率稳定面临严峻挑战。为此,该文以双馈风机(double fed induction generator,DFIG)与电池储能系统为研究对象,基于不同风速下DFIG参与调频的能力,提出一种风储协同参与电网一次调频控制策略。所提策略针对风速、频率变化率设计模糊逻辑控制器,实现DFIG的新型虚拟惯量综合控制,可在惯性响应阶段利用有限的风机转子动能抑制频率快速跌落;同时基于电池储能的荷电状态(state of charge,SOC)设计自适应控制逻辑,在DFIG逐步退出调频的过程中让储能系统平滑接替出力,并且维持频率的稳态恢复过程。最后,对所提风储协同调频策略进行仿真验证,结果表明,所提策略能够在不同风况下有效改善系统频率响应特性,实现风储调频功率的合理分配,可避免发生频率二次跌落,保障高比例风电并网场景下的系统频率稳定性。
With the continuous increase in wind power penetration
the equivalent rotational inertia of power systems keeps decreasing
and frequency stability is facing severe challenges. Therefore
this paper takes the doubly fed induction generator (DFIG) and battery energy storage system as research objects
and proposes a wind-storage coordinated control strategy for grid primary frequency regulation based on the frequency regulation capability of DFIG under different wind speeds. The proposed strategy develops a fuzzy logic controller considering wind speed and rate of frequency change to realize a novel integrated virtual inertia control for DFIG
which can suppress the rapid frequency drop during the inertial response phase by utilizing the limited rotor kinetic energy of the wind turbine. Meanwhile
an adaptive control logic is designed based on the state of charge (SOC) of the battery energy storage system
enabling the energy storage system to smoothly take over power output as DFIG gradually exits frequency regulation and maintain the steady-state frequency recovery process. Finally
simulation verification is performed on the proposed wind-storage coordinated frequency regulation strategy
and the results show that the proposed strategy can effectively improve system frequency response characteristics under different wind conditions
achieve rational allocation of wind-storage frequency regulation power
avoid the occurrence of secondary frequency drop
and ensure system frequency stability in scenarios with high-proportion wind power integration.
张智刚,康重庆.碳中和目标下构建新型电力系统的挑战与展望 [J]. 中国电机工程学报,2022, 42 (8): 2806-2819.
MENG L, et al. Fast Frequency Response From Energy Storage Systems—A Review of Grid Standards, Projects and Technical Issues[J]. IEEE Transactions on Smart Grid, 2020, 11(2): 1566-1581.
张程铭,柳璐,程浩忠,等.考虑频率安全的电力系统规划与运行优化研究综述与展望 [J]. 电网技术,2022, 46 (1): 250-265.
风电场接入电力系统技术规定 第 1 部分:陆上风电:GB/T 19963.1—2021 [S]. 北京:中国标准出版社,2021.
SMETHUREST K, WILLIAMS S, WALSH V. Testing Guidance for Providers of Enhanced Frequency Response Service[R]. National Grid plc, 2017.
刘洪波,彭晓宇,张崇,等.风电参与电力系统调频控制策略综述 [J]. 电力自动化设备,2021, 41 (11): 81-92.
李少林,王伟胜,张兴,等.风力发电对系统频率影响及虚拟惯量综合控制 [J]. 电力系统自动化,2019, 43 (15): 64-70.
HAFIZ F, ABDENNOUR A. Optimal use of kinetic energy for the inertial support from variable speed wind turbines[J]. Renewable Energy, 2015, 80: 629-643.
PRASAD R, PADHY N P. Synergistic frequency regulation control mechanism for DFIG Wind Turbines with optimal pitch dynamics[J]. IEEE Transactions on Power Systems, 2020, 35(6): 4841-4851.
付媛,王毅,张祥宇,等.变速风电机组的惯性与一次调频特性分析及综合控制 [J]. 中国电机工程学报,2014, 34 (27): 4706-4716.
TAGHVAEI M, MOJTABA G, Mostafa S. Cooperation of Large-scale Wind Farm and Battery Storage in Frequency Control: An Optimal Fuzzy-logic Based Controller[J]. Journal of Energy Storage, 2022, 46: 103834.
张冠锋,杨俊友,王海鑫,等.基于虚拟同步机技术的风储系统协调调频控制策略 [J]. 电工技术学报,2022, 37(S1): 83-92.
乔颖,郭晓茜,鲁宗相,等.考虑系统频率二次跌落的风电机组辅助调频参数确定方法 [J]. 电网技术,2020, 44(3): 807-815.
刘巨,姚伟,文劲宇,等.一种基于储能技术的风电场虚拟惯量补偿策略 [J]. 中国电机工程学报,2015, 35(7): 1596-1605.
WA Z, GAO D W, ZHANG H, et al. Coordinated Control Strategy of Battery Energy Storage System and PMSG-WTG to Enhance System Frequency Regulation Capability[J]. IEEE Transactions on Sustainable Energy, 2017, 8(3): 1330-1343.
胡泽春,夏睿,吴林林,等.考虑储能参与调频的风储联合运行优化策略 [J]. 电网技术,2016, 40 (8): 2251-2257.
彭勃,张峰,梁军.考虑风速分区的风储系统短期频率响应协同控制策略 [J]. 电力系统自动化,2018, 42(8): 57-65.
虞临波,寇鹏,冯玉涛,等.风储联合发电系统参与频率响应的模型预测控制策略 [J]. 电力系统自动化,2019, 43(12): 36-43.
王威儒,曹宇龙,王延旭,等.基于模糊推算和动态控制的风储联合调频控制策略 [J]. 电力系统保护与控制,2025, 53(16): 14-27.
BAO W Y, WU Q W, DING L, et al. Synthetic inertial control of wind farm with BESS based on model predictive control[J]. IET Renewable Power Generation, 2020, 14(13): 2447-2455.
朱昭丞,陈渊睿,曾君,等.考虑频率二次跌落和风速差异的风储联合持续调频控制策略 [J]. 电力系统自动化,2025, 49(14): 76-86.
李卫国,梁智豪.基于风机转子转速以及荷电状态的变系数风储联合系统参与一次调频控制策略 [J]. 东北电力大学学报,2025, 45(1): 83-94.
张智刚,康重庆.碳中和目标下构建新型电力系统的挑战与展望 [J]. 中国电机工程学报,2022, 42 (8): 2806-2819.
MENG L, et al. Fast Frequency Response From Energy Storage Systems—A Review of Grid Standards, Projects and Technical Issues[J]. IEEE Transactions on Smart Grid, 2020, 11(2): 1566-1581.
张程铭,柳璐,程浩忠,等.考虑频率安全的电力系统规划与运行优化研究综述与展望 [J]. 电网技术,2022, 46 (1): 250-265.
风电场接入电力系统技术规定 第 1 部分:陆上风电:GB/T 19963.1—2021 [S]. 北京:中国标准出版社,2021.
SMETHUREST K, WILLIAMS S, WALSH V. Testing Guidance for Providers of Enhanced Frequency Response Service[R]. National Grid plc, 2017.
刘洪波,彭晓宇,张崇,等.风电参与电力系统调频控制策略综述 [J]. 电力自动化设备,2021, 41 (11): 81-92.
李少林,王伟胜,张兴,等.风力发电对系统频率影响及虚拟惯量综合控制 [J]. 电力系统自动化,2019, 43 (15): 64-70.
HAFIZ F, ABDENNOUR A. Optimal use of kinetic energy for the inertial support from variable speed wind turbines[J]. Renewable Energy, 2015, 80: 629-643.
PRASAD R, PADHY N P. Synergistic frequency regulation control mechanism for DFIG Wind Turbines with optimal pitch dynamics[J]. IEEE Transactions on Power Systems, 2020, 35(6): 4841-4851.
付媛,王毅,张祥宇,等.变速风电机组的惯性与一次调频特性分析及综合控制 [J]. 中国电机工程学报,2014, 34 (27): 4706-4716.
TAGHVAEI M, MOJTABA G, Mostafa S. Cooperation of Large-scale Wind Farm and Battery Storage in Frequency Control: An Optimal Fuzzy-logic Based Controller[J]. Journal of Energy Storage, 2022, 46: 103834.
张冠锋,杨俊友,王海鑫,等.基于虚拟同步机技术的风储系统协调调频控制策略 [J]. 电工技术学报,2022, 37(S1): 83-92.
乔颖,郭晓茜,鲁宗相,等.考虑系统频率二次跌落的风电机组辅助调频参数确定方法 [J]. 电网技术,2020, 44(3): 807-815.
刘巨,姚伟,文劲宇,等.一种基于储能技术的风电场虚拟惯量补偿策略 [J]. 中国电机工程学报,2015, 35(7): 1596-1605.
WA Z, GAO D W, ZHANG H, et al. Coordinated Control Strategy of Battery Energy Storage System and PMSG-WTG to Enhance System Frequency Regulation Capability[J]. IEEE Transactions on Sustainable Energy, 2017, 8(3): 1330-1343.
胡泽春,夏睿,吴林林,等.考虑储能参与调频的风储联合运行优化策略 [J]. 电网技术,2016, 40 (8): 2251-2257.
彭勃,张峰,梁军.考虑风速分区的风储系统短期频率响应协同控制策略 [J]. 电力系统自动化,2018, 42(8): 57-65.
虞临波,寇鹏,冯玉涛,等.风储联合发电系统参与频率响应的模型预测控制策略 [J]. 电力系统自动化,2019, 43(12): 36-43.
王威儒,曹宇龙,王延旭,等.基于模糊推算和动态控制的风储联合调频控制策略 [J]. 电力系统保护与控制,2025, 53(16): 14-27.
BAO W Y, WU Q W, DING L, et al. Synthetic inertial control of wind farm with BESS based on model predictive control[J]. IET Renewable Power Generation, 2020, 14(13): 2447-2455.
朱昭丞,陈渊睿,曾君,等.考虑频率二次跌落和风速差异的风储联合持续调频控制策略 [J]. 电力系统自动化,2025, 49(14): 76-86.
李卫国,梁智豪.基于风机转子转速以及荷电状态的变系数风储联合系统参与一次调频控制策略 [J]. 东北电力大学学报,2025, 45(1): 83-94.
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