A hybrid energy storage system with optimized operating strategy for mitigating wind power fluctuations

被引:61
|
作者
Zhang, Yi [1 ,2 ]
Xu, Yujie [1 ]
Guo, Huan [1 ]
Zhang, Xinjing [1 ]
Guo, Cong [1 ]
Chen, Haisheng [1 ]
机构
[1] Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Wind power; Compressed air energy storage; Flywheel energy storage; Optimum design; Wind power rejection rate; THERMODYNAMIC ANALYSIS; PERFORMANCE; TURBINE;
D O I
10.1016/j.renene.2018.02.058
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A novel method based on hybrid energy storage system (HESS), composed of adiabatic compressed air energy storage (A-CAES) and flywheel energy storage system (FESS), to mitigate wind power fluctuations and augment wind power penetration is proposed in this paper. Wind power fluctuates in different frequencies, mainly divided into low and high frequency, which can be coped with by A-CAES and FESS respectively. To fit with low frequency fluctuation exhibiting large magnitude, A-CAES with multi operating strategies is first proposed to widen operational ranges. Mathematical model of key components' off-design performance is established. For a 49.5 MW wind farm in China, design and optimization of HESS are comprehensively investigated. More specifically, the selection of A-CAES system's key components, such as compressor and expander, and parameters of them are specified as well as the parameters of FESS. The key operating parameters of the HESS, when integrated with wind plant, are analyzed and the characteristics are revealed. The results indicate that by HESS, wind power with fluctuation within 0-49.5 MW (average 25.55 MW) can be stabilized to a steady electrical power output of 24.18 MW. The loss of wind power is 6.6%, far less than the wind power rejection rate 17.1% in China. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:121 / 132
页数:12
相关论文
共 50 条
  • [41] HYBRID WIND POWER SYSTEM TO ABSORB POWER FLUCTUATION BY BATTERY ENERGY STORAGE SYSTEM
    Takahashi, Masaya
    Oohara, Shinya
    Hoshino, Naoki
    Suzuki, Kazuo
    Hashimoto, Tadashi
    Mitani, Katsura
    [J]. PROCEEDINGS OF THE ASME POWER CONFERENCE - 2011, VOL 2, 2012, : 545 - +
  • [42] Hybrid wind power system to absorb power fluctuation by battery energy storage system
    Hitachi Engineering and service Co., Ltd., Hitachi-shi, Ibaraki-ken, Japan
    不详
    不详
    [J]. ASME Power Div Publ POWER, 1 (545-549):
  • [43] Optimal Operational Strategy for PV/Wind-Diesel Hybrid Power Generation System with Energy Storage
    Ani, Vincent Anayochukwu
    [J]. INTERNATIONAL JOURNAL OF ENERGY OPTIMIZATION AND ENGINEERING, 2014, 3 (01) : 101 - 120
  • [44] Research on frequency Control Strategy of micro grid including wind power and hybrid energy storage system
    Dong, Xin
    Wang, Ruifeng
    [J]. 6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING, 2021, 647
  • [45] Optimal Economic Allocation Strategy for Hybrid Energy Storage System under the Requirement of Wind Power Fluctuation
    Zhao, Lang
    Zeng, Yuan
    Peng, Dong
    Li, Yizheng
    [J]. 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023,
  • [46] A Virtual Filter Approach for Wind Energy Conversion Systems for Mitigating Power System Frequency Fluctuations
    Liao, Kai
    Xu, Yan
    Yin, Minghui
    Chen, Zaiyu
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (03) : 1268 - 1277
  • [47] Optimal Configuration Strategy of Energy Storage Capacity in Wind/PV/Storage Hybrid System
    Li J.
    Guo B.
    Niu M.
    Xiu X.
    Tian L.
    [J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2018, 33 (06): : 1189 - 1196
  • [48] A hybrid energy storage array group control strategy for wind power smoothing
    Tong, Tong
    Wei, Le
    Chen, Yuanye
    Fang, Fang
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2024, : 2267 - 2276
  • [49] Energy Management of Wind Energy Hybrid Storage for Remote Area Power System
    Albasheri, Mohammed Abdulelah
    Bouchhida, Ouahid
    Soufi, Youcef
    Cherifi, Abderrezzak
    [J]. 12TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID 2024, 2024, : 418 - 422
  • [50] Energy management strategies for optimization of energy storage in wind power hybrid system
    Abbey, C
    Joos, G
    [J]. 2005 IEEE 36TH POWER ELECTRONIC SPECIALISTS CONFERENCE (PESC), VOLS 1-3, 2005, : 2066 - 2072