IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v101y2016icp1-8.html
   My bibliography  Save this article

ADALINE (ADAptive Linear NEuron)-based coordinated control for wind power fluctuations smoothing with reduced BESS (battery energy storage system) capacity

Author

Listed:
  • Jannati, M.
  • Hosseinian, S.H.
  • Vahidi, B.
  • Li, Guo-jie

Abstract

Most wind turbine generators installed in large wind farms are variable speed types which operate at the maximum power point tracking mode in order to increase the power generation. Due to this fact and regarding the random nature of the wind speed, the output power of the wind farm fluctuates randomly. Fluctuating power affects network operation and needs to be smoothed. In order to mitigate the output power fluctuations of a wind farm, a 4-step coordinated control technique based on ADALINE (ADAptive Linear NEuron) is proposed in this paper which uses a small BESS (Battery Energy Storage System) capacity. At first the on-line tracking of the WFOP (Wind Farm Output Power) is carried out by ADALINE. Afterwards, two constraints for maximum permissible fluctuations are imposed on the ADALINE output. Two states of charging feedback control strategies are implemented in the third and fourth steps. Reducing the battery capacity in proposed coordinated control technique is fulfilled through the accurate tracking performed by ADALINE and also by maintaining the level of BESS saved energy within the batteries safe performance region performed by state of charging feedback control strategies. Simulation results run by real data verify that the performance of the proposed approach is considerably better than the basic approach.

Suggested Citation

  • Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-jie, 2016. "ADALINE (ADAptive Linear NEuron)-based coordinated control for wind power fluctuations smoothing with reduced BESS (battery energy storage system) capacity," Energy, Elsevier, vol. 101(C), pages 1-8.
    • Handle: RePEc:eee:energy:v:101:y:2016:i:c:p:1-8
    DOI: 10.1016/j.energy.2016.01.100
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544216300378
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2016.01.100?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-Jie, 2014. "A survey on energy storage resources configurations in order to propose an optimum configuration for smoothing fluctuations of future large wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 158-172.
    2. Boutoubat, M. & Mokrani, L. & Machmoum, M., 2013. "Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement," Renewable Energy, Elsevier, vol. 50(C), pages 378-386.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. Li Peng & Longfu Luo & Jingyu Yang & Wanting Li, 2024. "A Wind Power Fluctuation Smoothing Control Strategy for Energy Storage Systems Considering the State of Charge," Energies, MDPI, vol. 17(13), pages 1-20, June.
    3. Liu, Shan & Yan, Jie & Yan, Yamin & Zhang, Haoran & Zhang, Jing & Liu, Yongqian & Han, Shuang, 2024. "Joint operation of mobile battery, power system, and transportation system for improving the renewable energy penetration rate," Applied Energy, Elsevier, vol. 357(C).
    4. Ahmadian, Ali & Sedghi, Mahdi & Aliakbar-Golkar, Masoud & Elkamel, Ali & Fowler, Michael, 2016. "Optimal probabilistic based storage planning in tap-changer equipped distribution network including PEVs, capacitor banks and WDGs: A case study for Iran," Energy, Elsevier, vol. 112(C), pages 984-997.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jannati, M. & Hosseinian, S.H. & Vahidi, B. & Li, Guo-jie., 2016. "A significant reduction in the costs of battery energy storage systems by use of smart parking lots in the power fluctuation smoothing process of the wind farms," Renewable Energy, Elsevier, vol. 87(P1), pages 1-14.
    2. Ademi, Sul & Jovanovic, Milutin, 2016. "Control of doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 85(C), pages 171-180.
    3. Belkacem Belabbas & Tayeb Allaoui & Mohamed Tadjine & Mouloud Denai, 2019. "Comparative study of back-stepping controller and super twisting sliding mode controller for indirect power control of wind generator," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(6), pages 1555-1566, December.
    4. Li, Yong & He, Li & Liu, Fang & Tan, Yi & Cao, Yijia & Luo, Longfu & Shahidehpour, Mohammod, 2018. "A dynamic coordinated control strategy of WTG-ES combined system for short-term frequency support," Renewable Energy, Elsevier, vol. 119(C), pages 1-11.
    5. Li, Jiale & Song, Zihao & Wang, Xuefei & Wang, Yanru & Jia, Yaya, 2022. "A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD," Energy, Elsevier, vol. 251(C).
    6. Barra, P.H.A. & de Carvalho, W.C. & Menezes, T.S. & Fernandes, R.A.S. & Coury, D.V., 2021. "A review on wind power smoothing using high-power energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    7. Mishra, Anirban & Tripathi, P.M. & Chatterjee, Kalyan, 2018. "A review of harmonic elimination techniques in grid connected doubly fed induction generator based wind energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 1-15.
    8. Mahela, Om Prakash & Shaik, Abdul Gafoor, 2016. "Comprehensive overview of grid interfaced wind energy generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 260-281.
    9. Mansouri, M.Mahdi & Nayeripour, Majid & Negnevitsky, Michael, 2016. "Internal electrical protection of wind turbine with doubly fed induction generator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 840-855.
    10. Xiaojun Shen & Chongchen Zhou & Guojie Li & Xuejiao Fu & Tek Tjing Lie, 2018. "Overview of Wind Parameters Sensing Methods and Framework of a Novel MCSPV Recombination Sensing Method for Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-23, July.
    11. Tsai, Yu-Ching & Chiu, Chih-Pin & Ko, Fu-Kuang & Chen, Tzong-Chyuan & Yang, Jing-Tang, 2016. "Desalination plants and renewables combined to solve power and water issues," Energy, Elsevier, vol. 113(C), pages 1018-1030.
    12. Barelli, L. & Desideri, U. & Ottaviano, A., 2015. "Challenges in load balance due to renewable energy sources penetration: The possible role of energy storage technologies relative to the Italian case," Energy, Elsevier, vol. 93(P1), pages 393-405.
    13. Nicolau K. L. Dantas & Amanda C. M. Souza & Andrea S. M. Vasconcelos & Washington de A. S. Junior & Guilherme Rissi & Celso Dall’Orto & Alexandre M. A. Maciel & José F. C. Castro & Yang Liu & Pedro Ro, 2022. "Impact Analysis of a Battery Energy Storage System Connected in Parallel to a Wind Farm," Energies, MDPI, vol. 15(13), pages 1-16, June.
    14. Mensou, Sara & Essadki, Ahmed & Nasser, Tamou & Idrissi, Badre Bououlid & Ben Tarla, Lahssan, 2020. "Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 1759-1771.
    15. Gyatso, Ngawang & Li, Ye & Gao, Zhiteng & Wang, Qiang & Li, Shoutu & Yin, Qiang & Chen, Junbo & Jin, Peng & Liu, Zhengshu & Ma, Zengyi & Chen, Xuefeng & Feng, Jiajia & Dorje,, 2023. "Wind power performance assessment at high plateau region: A case study of the wind farm field test on the Qinghai-Tibet plateau," Applied Energy, Elsevier, vol. 336(C).
    16. Taveiros, F.E.V. & Barros, L.S. & Costa, F.B., 2015. "Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines," Energy, Elsevier, vol. 89(C), pages 896-906.
    17. Wang, Ying & Li, Gaohui & Shen, Sheng & Huang, Diangui & Zheng, Zhongquan, 2018. "Influence of an off-surface small structure on the flow control effect on horizontal axis wind turbine at different relative inflow angles," Energy, Elsevier, vol. 160(C), pages 101-121.
    18. Agalar, Sener & Kaplan, Yusuf Alper, 2018. "Power quality improvement using STS and DVR in wind energy system," Renewable Energy, Elsevier, vol. 118(C), pages 1031-1040.
    19. Kai Liao & Yao Wang, 2017. "A Comparison between Voltage and Reactive Power Feedback Schemes of DFIGs for Inter-Area Oscillation Damping Control," Energies, MDPI, vol. 10(8), pages 1-17, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:101:y:2016:i:c:p:1-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.