Control Strategy for a Hybrid Energy Storage System to Mitigate Wind Power Fluctuations

被引:0
|
作者
Zhang, T. [1 ]
Bao, Z. J. [1 ]
Chen, G. [1 ]
Yang, Q. [1 ]
Yan, W. J. [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the intermittency and uncertainty of wind power, two-time-scale maximal power fluctuation restrictions (MPFRs) are set by electrical company for the combined power of the wind farm and the hybrid energy storage system (HESS): the maximal fluctuation of the combined power in any 1-and 30-min time window must be kept within gamma(1min) % and gamma(30-min) % of the wind farm rated power, respectively. Under this circumstance, an approach of improved first-order low-pass filter (IFLF) is proposed, which could adjust the time constant in any second if necessary when the fluctuation during the latest two seconds is exceeding a certain valve. Then a strategy to manage the power sharing between the battery and the super-capacitor at every second is described, which is based on Particle Swarm Optimization (PSO) algorithm and consider the constraints for the state of charge (SOC) of battery and the change times between battery charging and discharging. Simulation results demonstrate that the proposed control strategy is effective both in mitigating the wind power fluctuation to satisfy the MPFRs with lower HESS capacity and prolonging the lifetime of battery.
引用
收藏
页码:27 / 32
页数:6
相关论文
共 50 条
  • [21] A Method for Optimal Sizing Hybrid Energy Storage System for Smoothing Fluctuations of Wind Power
    Pang, Ming
    Shi, Yikai
    Wang, Wendong
    Yuan, Xiaoqing
    2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 2390 - 2393
  • [22] An energy storage coordinated control strategy based on model predictive control for smoothing wind power fluctuations
    Zhao, Yao
    Deng, Lina
    Li, Dongdong
    Yang, Fan
    Mi, Yang
    Zhu, Miao
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022,
  • [23] SOC and power deviation control strategy for hybrid generation systems of wind power and energy storage
    She, Shensi, 1600, Automation of Electric Power Systems Press (38):
  • [24] A Three-Level Control Strategy for Battery Energy Storage System to Mitigate Power fluctuations and Compensate Reactive Power of Distributed Generators in a Microgrid
    Rajabinezhad, Mohamad Amin
    Guerrero, Josep M.
    2020 10TH SMART GRID CONFERENCE (SGC), 2020,
  • [25] Model Predictive Control-Based Coordinated Control Algorithm with a Hybrid Energy Storage System to Smooth Wind Power Fluctuations
    Hong, Haisheng
    Jiang, Quanyuan
    ENERGIES, 2019, 12 (23)
  • [26] Hybrid Energy Storage Power Allocation Method for Smoothing Wind Power Fluctuations
    Liu, Muyang
    Chen, Yutian
    Pi, Shengyuan
    Chen, Junru
    Zhong, Weilin
    2024 IEEE 2ND INTERNATIONAL CONFERENCE ON POWER SCIENCE AND TECHNOLOGY, ICPST 2024, 2024, : 1684 - 1689
  • [27] Predictive control and sizing of energy storage to mitigate wind power intermittency
    Li, Chiao-Ting
    Peng, Huei
    Sun, Jing
    WIND ENERGY, 2016, 19 (03) : 437 - 451
  • [28] A New Control Method to Mitigate Power Fluctuations for Grid Integrated PV/Wind Hybrid Power System Using Ultracapacitors
    Jayalakshmi, N. S.
    Gaonkar, D. N.
    INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2016, 17 (04): : 451 - 461
  • [29] Smoothing control of wind power fluctuations with battery energy storage system of electric vehicles
    Wang, Mingshen
    Ge, Le
    Dong, Chaoyu
    Xiao, Qian
    An, Haiyun
    Mu, Yunfei
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (10):
  • [30] Power control strategy of directly driven wind turbine with energy storage system
    Zhang, Kun
    Mao, Chengxiong
    Lu, Jiming
    Wang, Dan
    Huang, Hui
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2011, 26 (07): : 7 - 14