An energy storage coordinated control strategy based on model predictive control for smoothing wind power fluctuations

被引:1
|
作者
Zhao, Yao [1 ]
Deng, Lina [1 ]
Li, Dongdong [1 ]
Yang, Fan [1 ]
Mi, Yang [1 ]
Zhu, Miao [2 ]
机构
[1] Shanghai Univ Elect Power, Sch Elect Engn, 2588 Chang Yang Rd, Shanghai, Peoples R China
[2] Minist Educ, Key Lab Control Power Transmiss & Convers SJTU, Beijing, Peoples R China
基金
上海市自然科学基金;
关键词
Smooth wind power fluctuations; battery energy storage system; model predictive control; state of charge limiting; energy state feedback; BATTERY; SYSTEM; OPTIMIZATION; MANAGEMENT; OPERATION;
D O I
10.1177/01423312221104482
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Based on the nature of wind, wind power fluctuations can cause significant problems in the distribution network. One of the solutions is to integrate an energy storage system with wind farm to mitigate the output power fluctuations. Therefore, an energy storage coordinated control strategy based on model predictive control is proposed to smooth minute-scale fluctuations of wind power. By analysing the limitations of traditional control strategy, four operating modes of battery energy storage system which are determined by the predicted state of charge obtained by model predictive control, are designed to avoid violating the state of charge limitation, and an energy state feedback control is designed to adjust the initial power allocation orders of batteries. Finally, the effectiveness of the proposed control strategy can be verified by the real-time digital simulator. The results indicate that the developed approach reduces the switching times of batteries and improves the ability of the battery energy storage system to smooth wind power fluctuations significantly.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Model Predictive Control Strategy for Smoothing Wind Power With Energy Storage Output Level
    Liu, Yingming
    Wang, Xiaodong
    Peng, Chaoyang
    [J]. Dianwang Jishu/Power System Technology, 2020, 44 (05): : 1723 - 1731
  • [2] Model Predictive Control-Based Coordinated Control Algorithm with a Hybrid Energy Storage System to Smooth Wind Power Fluctuations
    Hong, Haisheng
    Jiang, Quanyuan
    [J]. ENERGIES, 2019, 12 (23)
  • [3] Control Strategy of Energy Storage for Smoothing Photovoltaic Power Fluctuations
    Liu, Haoming
    Peng, Jianyu
    Zang, Qiyue
    Yang, Kelin
    [J]. IFAC PAPERSONLINE, 2015, 48 (28): : 162 - 165
  • [4] Coordinated Control Strategy for Active Power of Wind Power Cluster Based on Model Predictive Control
    Lu, Peng
    Ye, Lin
    Pei, Ming
    He, Boyu
    Tang, Yong
    Zhai, Bingxu
    Qu, Ying
    Li, Zhuo
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2021, 41 (17): : 5887 - 5899
  • [5] Smoothing control strategy of energy storage system considering wind power fluctuations and battery SOC
    计及风功率波动和电池荷电状态的储能系统平滑控制策略
    [J]. Wang, Guisong (wgs18795876745@163.com), 1600, Science Press (42): : 280 - 286
  • [6] Coordinated Power Smoothing Control Strategy of Multi-Wind Turbines and Energy Storage Systems in Wind Farm Based on MADRL
    Wang, Xin
    Zhou, Jianshu
    Qin, Bin
    Guo, Lingzhong
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2024, 15 (01) : 368 - 380
  • [7] Wind Power Smoothing With Energy Storage System: A Stochastic Model Predictive Control Approach
    Wu, Chuanshen
    Gao, Shan
    Liu, Yu
    Han, Haiteng
    Jiang, Sufan
    [J]. IEEE ACCESS, 2021, 9 : 37534 - 37541
  • [8] Wavelet-Based Capacity Configuration and Coordinated Control of Hybrid Energy Storage System for Smoothing Out Wind Power Fluctuations
    Jiang, Quanyuan
    Hong, Haisheng
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (02) : 1363 - 1372
  • [9] Model Predictive Control-based Wind Farm Power Control with Energy Storage
    Cai, Yu
    Lin, Jin
    Song, Yonghua
    Zhou, Yu
    Jiang, Hao
    [J]. 2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2014,
  • [10] Coordinated Control Strategy for Ship Wind Power Hybrid Energy Storage
    Yang, Ye
    Zhi, P. F.
    Zhu, Wanlu
    Wang, Wugui
    Qi, Yongshuang
    Ye, Hui
    [J]. 2020 IEEE 18TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), VOL 1, 2020, : 817 - 821