Wind Power Fluctuation Smoothing Strategy Based on Time-scale Adaptive Wavelet Packet

WANG Jian; WANG Rukang; XU Gang; DENG Zhenyu; ZHANG Zhen

doi:10.19805/j.cnki.jcspe.2025.240446

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Wind Power Fluctuation Smoothing Strategy Based on Time-scale Adaptive Wavelet Packet

更新时间：2025-11-28

- Wind Power Fluctuation Smoothing Strategy Based on Time-scale Adaptive Wavelet Packet
- Chinese Journal of Power Engineering Vol. 45, Issue 9, Pages: 1412-1421(2025)
- 作者机构：
  
  1. 华北电力大学能源动力与机械工程学院,北京,102206
  2. 国网青海省电力公司电力调度控制中心,青海,西宁,810001
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.240446
  CLC：
- Published Online：16 September 2025，
  
  Published：2025
- 稿件说明：
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王健,汪茹康,徐钢,邓振宇,张真. 基于时间尺度自适应小波包的风电波动平抑策略动力工程学报, 2025, 45(9): 1412-1421 https://doi.

org/10.19805/j.cnki.jcspe.2025.240446
王健,汪茹康,徐钢,邓振宇,张真. 基于时间尺度自适应小波包的风电波动平抑策略动力工程学报, 2025, 45(9): 1412-1421 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.240446.

org/10.19805/j.cnki.jcspe.2025.240446 DOI：

摘要

由于风电出力的波动性和不确定性会极大地影响电力系统的稳定、电网频率和电能质量

提出了一种基于时间尺度自适应小波包的风电波动平抑策略。首先

选取合适的时间尺度来划分时间域

进行自适应小波包分解

并在相邻时间域利用算数平均方法对波动越限的数据进行平抑。其次

综合混合储能特性

利用能量熵差对风电波动功率进行分析

合理地分配波动功率。最后

考虑到储能设备的荷电状态(SOC)及循环使用寿命

采用两阶段模糊控制优化飞轮储能和磷酸铁锂电池的功率输出指令。结果表明:所提出的策略能有效平抑功率波动

更准确地分配混合储能分量

同时能有效降低SOC越限情况

提升电能质量。

Abstract

Due to the volatility and uncertainty of wind power output

which significantly impact the stability of the power system

grid frequency and power quality

a wind power fluctuation smoothing strategy based on time-scale adaptive wavelet packet was proposed. Firstly

an appropriate time scale was selected to divide the time domain

adaptive wavelet packet decomposition was performed

and arithmetic averaging was applied to smooth fluctuations that exceed the limits at the boundaries of adjacent time domains. Secondly

a comprehensive analysis of hybrid energy storage characteristics was conducted

and the energy entropy difference was used to analyze the wind power fluctuation power

reasonably distributing the fluctuation power. Finally

considering the state of charge (SOC) and cycle life of energy storage devices

a two-stage fuzzy control was applied to optimize the power output instructions of the flywheel energy storage and lithium iron phosphate batteries. Results show that the proposed strategy can effectively mitigate power fluctuations

more accurately allocate hybrid energy storage components

effectively reduce SOC violations

and improve power quality.

关键词

Keywords

references

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): 2806-2818. ZHANG Zhigang, KANG Chongqing. Challenges and prospects for constructing the new-type power system towards a carbon neutrality future[J]. Proceedings of the CSEE, 2022, 42(8): 2806-2818.

张靖, 张志文, 胡斯佳, 等. 独立微电网风储协同调频的功率柔性分配策略[J]. 电工技术学报, 2022, 37(15): 3767-3780. ZHANG Jing, ZHANG Zhiwen, HU Sijia, et al. A flexible power distribution strategy with wind turbine generator and energy storage for frequency regulation in isolated microgrid[J]. Transactions of China Electrotechnical Society, 2022, 37(15): 3767-3780.

丁明, 吴杰, 张晶晶. 面向风电平抑的混合储能系统容量配置方法[J]. 太阳能学报, 2019, 40(3): 593-599. DING Ming, WU Jie, ZHANG Jingjing. Capacity optimization method of hybrid energy storage system for wind power smoothing[J]. Acta Energiae Solaris Sinica, 2019, 40(3): 593-599.

SHI Jie, WANG Luohao, LEE Weijen, et al. Hybrid energy storage system (HESS) optimization enabling very short-term wind power generation scheduling based on output feature extraction[J]. Applied Energy, 2019, 256: 113915.

孙培锋, 陆王琳, 白鹏, 等. 锂电池和超级电容混合储能辅助火电调频技术发展现状和趋势[J]. 动力工程学报, 2024, 44(3): 418-429. SUN Peifeng, LU Wanglin, BAI Peng, et al. Development status and trends of lithium battery and supercapacitor hybrid energy storage assisted thermal power frequency regulation technology[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 418-429.

代佳豪, 肖刚, 祝培旺, 等. 太阳能布雷顿循环耦合蓄电池平抑光伏输出波动策略研究[J]. 动力工程学报, 2023, 43(6): 717-723. DAI Jiahao, XIAO Gang, ZHU Peiwang, et al. Study on fluctuation suppression strategy of solar Brayton cycle with storage battery on photovoltaic output power[J]. Journal of Chinese Society of Power Engineering, 2023, 43(6): 717-723.

王晋君, 苟凯杰, 陈衡, 等. 平抑风电波动的飞轮-电化学混合储能容量优化配置研究[J]. 动力工程学报, 2024, 44(3): 439-446. WANG Jinjun, GOU Kaijie, CHEN Heng, et al. Allocation optimization of flywheel-electrochemical hybrid energy storage capacity to stabilize wind power fluctuations[J]. Journal of Chinese Society of Power Engineering, 2024, 44(3): 439-446.

赵峰, 张帆, 陈小强, 等. 基于VMD-APSO的风电场混合储能系统容量优化配置[J]. 高压电器, 2023, 59(6): 120-127. ZHAO Feng, ZHANG Fan, CHEN Xiaoqiang, et al. Optimal configuration of capacity of wind farm hybrid energy storage system based on VMD-APSO algorithm[J]. High Voltage Apparatus, 2023, 59(6): 120-127.

刘仲民, 齐国愿, 高敬更, 等. 混合储能系统平抑风光发电功率波动策略[J]. 电力电子技术, 2021, 55(11): 64-67. LIU Zhongmin, QI Guoyuan, GAO Jinggeng, et al. Strategy of smoothing wind-PV power generation power fluctuation in hybrid energy storage system[J]. Power Electronics, 2021, 55(11): 64-67.

武鑫, 李洋涛, 马志勇, 等. 基于改进小波包分解的混合储能系统容量配置方法[J]. 太阳能学报, 2023, 44(8): 23-29. WU Xin, LI Yangtao, MA Zhiyong, et al. Capacity configuration method of hybrid energy storage system based on improved wavelet packet decomposition[J]. Acta Energiae Solaris Sinica, 2023, 44(8): 23-29.

齐先军, 郑夕炜, 王晓蓉, 等. 基于时频分析的改进小波包风电功率波动平抑方法[J]. 太阳能学报, 2022, 43(7): 302-309. QI Xianjun, ZHENG Xiwei, WANG Xiaorong, et al. Improved wavelet packet method of smoothing wind power fluctuations based on time-frequency analysis[J]. Acta Energiae Solaris Sinica, 2022, 43(7): 302-309.

陈景文, 周婧, 张文倩. 基于小波包-模糊算法的混合储能功率分配策略[J]. 智慧电力, 2023, 51(1): 61-68. CHEN Jingwen, ZHOU Jing, ZHANG Wenqian. Hybrid energy storage power allocation strategy based on wavelet packet-fuzzy algorithm[J]. Smart Power, 2023, 51(1): 61-68.

武鑫, 冯歌, 熊星宇. 用于风功率平抑的SOEC系统功率控制策略[J]. 动力工程学报, 2023, 43(12): 1626-1633, 1674. WU Xin, FENG Ge, XIONG Xingyu. Power control strategy of the SOEC system for smoothing wind power fluctuations[J]. Journal of Chinese Society of Power Engineering, 2023, 43(12): 1626-1633, 1674.

林莉, 林雨露, 谭惠丹, 等. 计及SOC自恢复的混合储能平抑风电功率波动控制[J]. 电工技术学报, 2024, 39(3): 658-671. LIN Li, LIN Yulu, TAN Huidan, et al. Hybrid energy storage control with SOC self-recovery to smooth out wind power fluctuations[J].Transactions of China Electrotechnical Society, 2024, 39(3): 658-671.

刘鑫屏, 刘磊. 基于调频信号自适应分解的电池储能辅助二次调频控制策略[J]. 动力工程学报, 2024, 44(4): 590-598, 631. LIU Xinping, LIU Lei. Battery storage energy assistance auxiliary secondary frequency regulating control strategy based on adaptive decomposition of frequency regulation signals[J]. Journal of Chinese Society of Power Engineering, 2024, 44(4): 590-598, 631.

郑顺河, 孟克其劳, 张建功, 等. 飞轮储能参与风电平滑的自适应滤波算法及无传感器控制[J]. 太阳能学报, 2024, 45(4): 347-355. ZHENG Shunhe, MENG Keqilao, ZHANG Jiangong, et al. Adaptive filtering algorithm and sensorless control for wind power smoothing with flywheel energy storage participation[J]. Acta Energiae Solaris Sinica, 2024, 45(4): 347-355.

国家市场监督管理总局, 国家标准化管理委员会. 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.

滕伟, 许庆祥, 王亚军, 等. 平滑风电波动的飞轮协同电池混合储能系统经济性配置[J]. 动力工程学报, 2024, 44(7): 1101-1108. TENG Wei, XU Qingxiang, WANG Yajun, et al. Economic configuration of flywheel collaborative battery hybrid energy storage system for smoothing wind power fluctuations[J]. Journal of Chinese Society of Power Engineering, 2024, 44(7): 1101-1108.

李洋, 陈洁, 王小军, 等. 微电网中混合储能双层模糊控制优化策略[J]. 计算机仿真, 2022, 39(6): 103-107, 398. LI Yang, CHEN Jie, WANG Xiaojun, et al. Double layer fuzzy control optimization strategy for hybrid energy storage in microgrid[J]. Computer Simulation, 2022, 39(6): 103-107, 398.

陈洪磊, 孙泽贤. 模糊控制下混合储能平抑风电波动控制策略[J]. 低温与超导, 2023, 51(7): 82-89. CHEN Honglei, SUN Zexian. Hybrid energy-storage control strategy based on fuzzy control to stabilize wind power fluctuation[J]. Cryogenics and Superconductivity, 2023, 51(7): 82-89.

陈崇德, 郭强, 宋子秋, 等. 计及碳收益的风电场混合储能容量优化配置[J]. 中国电力, 2022, 55(12): 22-33. CHEN Chongde, GUO Qiang, SONG Ziqiu, et al. Optimal configuration of hybrid energy storage capacity for wind farms considering carbon trading revenue[J]. Electric Power, 2022, 55(12): 22-33.

张小莲, 陈冲, 张仰飞, 等. 考虑电池运行状态的风电场储能容量优化配置[J]. 电力系统自动化, 2022, 46(18): 199-207. ZHANG Xiaolian, CHEN Chong, ZHANG Yangfei, et al. Optimal configuration of wind farm energy storage capacity considering battery operation state[J]. Automation of Electric Power Systems, 2022, 46(18): 199-207.

宾洋, 于静美, 朱英凯, 等. 实时雨流计数法及其在钴酸锂电池健康状态建模中的应用[J]. 中国电机工程学报, 2017, 37(12): 3627-3635. BIN Yang, YU Jingmei, ZHU Yingkai, et al. A real-time rain flow algorithm and its application to state of health modeling for LiCoO2 lithium-ion batteries[J]. Proceedings of the CSEE, 2017, 37(12): 3627-3635.

李相俊, 马锐, 王上行, 等. 考虑电池寿命的商业园区储能电站运行控制策略[J]. 高电压技术, 2020, 46(1): 62-70. LI Xiangjun, MA Rui, WANG Shangxing, et al. Operation control strategy for energy storage station after considering battery life in commercial park[J]. High Voltage Engineering, 2020, 46(1): 62-70.

倪红军, 吕帅帅, 陈林飞, 等. 混合动力汽车磷酸铁锂电池充放电性能研究[J]. 化工新型材料, 2015, 43(1): 133-134. NI Hongjun, LV Shuaishuai, CHEN Linfei, et al. Research of charge and discharge characteristics of LiFePO4 battery for hydrogen-electric hybrid fuel cell vehicles[J]. New Chemical Materials, 2015, 43(1): 133-134.

朱吉昌, 邹长春. 测井数据小波变换边界效应研究[J]. 工程地球物理学报, 2017, 14(1): 105-110. ZHU Jichang, ZOU Changchun. The study on boundary effect of wavelet transform with well logging data[J]. Chinese Journal of Engineering Geophysics, 2017, 14(1): 105-110.

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