IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i18p4607-d409117.html
   My bibliography  Save this article

Parameters Identification of Equivalent Model of Permanent Magnet Synchronous Generator (PMSG) Wind Farm Based on Analysis of Trajectory Sensitivity

Author

Listed:
  • Jian Zhang

    (School of Electric and Automation Engineering, Hefei University of Technology, Heifei 230009, China)

  • Mingjian Cui

    (School of Electric and Electronic Engineering, The University of Tennessee, Knoxville, TN 37996-0150, USA)

  • Yigang He

    (School of Electric and Automation, Wuhan University, Wuhan 430072, China)

Abstract

As wind farms have great influences on power system stability, it is essential to develop an adaptive as well as robust equivalent model of it. In this paper, a detailed equivalent model of PMSG wind farm and initialization method is developed. The trajectory sensitivity of parameters is analyzed. Then, the key parameters are estimated using improved Genetic Learning Particle Swarm Optimization (GLPSO) hybrid algorithm with phasor measurement unit (PMU). The description and generalization capability, stability for parameter identification of the equivalent model under wake effects, and when some wind turbines are off-line or wind speed is unknown after an event are analyzed. The maximum differences between the values of estimated parameters and their real ones are less than 10% for the proportional magnification constant of DC voltage controller K p 2 and grid side current controller K p 3 . The convergence rate and global optimization performance of the improved GLPSO hybrid algorithm is 0.5 times higher than the classical particle swarm optimization algorithm (PSO) and genetic algorithm (GA).

Suggested Citation

  • Jian Zhang & Mingjian Cui & Yigang He, 2020. "Parameters Identification of Equivalent Model of Permanent Magnet Synchronous Generator (PMSG) Wind Farm Based on Analysis of Trajectory Sensitivity," Energies, MDPI, vol. 13(18), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4607-:d:409117
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/18/4607/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/18/4607/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernández, Luis M. & Jurado, Francisco & Saenz, José Ramón, 2008. "Aggregated dynamic model for wind farms with doubly fed induction generator wind turbines," Renewable Energy, Elsevier, vol. 33(1), pages 129-140.
    2. Zhang, Jian & Cui, Mingjian & He, Yigang, 2020. "Robustness and adaptability analysis for equivalent model of doubly fed induction generator wind farm using measured data," Applied Energy, Elsevier, vol. 261(C).
    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. Chuan Qin & Yuqing Jin & Meng Tian & Ping Ju & Shun Zhou, 2023. "Comparative Study of Global Sensitivity Analysis and Local Sensitivity Analysis in Power System Parameter Identification," Energies, MDPI, vol. 16(16), pages 1-21, August.
    2. Ruipeng Guo & Lilan Dong & Hao Wu & Fangdi Hou & Chen Fang, 2021. "A Practical GERI-Based Method for Identifying Multiple Erroneous Parameters and Measurements Simultaneously," Energies, MDPI, vol. 14(12), pages 1-21, June.
    3. Jingde Xia & Shaozhuo Li & Shuping Gao & Wenquan Shao & Guobing Song & Changjiang Chen, 2021. "Research on Differential Protection of Generator Based on New Braking Mode," Energies, MDPI, vol. 14(7), pages 1-16, March.

    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. Jiang, Sufan & Gao, Shan & Pan, Guangsheng & Zhao, Xin & Liu, Yu & Guo, Yasen & Wang, Sicheng, 2020. "A novel robust security constrained unit commitment model considering HVDC regulation," Applied Energy, Elsevier, vol. 278(C).
    2. Zhou, Yu & Li, Zhengshuo & Wang, Guangrui, 2021. "Study on leveraging wind farms' robust reactive power range for uncertain power system reactive power optimization," Applied Energy, Elsevier, vol. 298(C).
    3. Wang, Huaizhi & Liu, Yangyang & Zhou, Bin & Voropai, Nikolai & Cao, Guangzhong & Jia, Youwei & Barakhtenko, Evgeny, 2020. "Advanced adaptive frequency support scheme for DFIG under cyber uncertainty," Renewable Energy, Elsevier, vol. 161(C), pages 98-109.
    4. Mohammad Kazem Bakhshizadeh & Benjamin Vilmann & Łukasz Kocewiak, 2022. "Modal Aggregation Technique to Check the Accuracy of the Model Reduction of Array Cable Systems in Offshore Wind Farms," Energies, MDPI, vol. 15(21), pages 1-19, October.
    5. Mercado-Vargas, M.J. & Gómez-Lorente, D. & Rabaza, O. & Alameda-Hernandez, E., 2015. "Aggregated models of permanent magnet synchronous generators wind farms," Renewable Energy, Elsevier, vol. 83(C), pages 1287-1298.
    6. Fernandez, L.M. & Garcia, C.A. & Jurado, F., 2008. "Comparative study on the performance of control systems for doubly fed induction generator (DFIG) wind turbines operating with power regulation," Energy, Elsevier, vol. 33(9), pages 1438-1452.
    7. Zong, Haoxiang & Lyu, Jing & Wang, Xiao & Zhang, Chen & Zhang, Ruifang & Cai, Xu, 2021. "Grey box aggregation modeling of wind farm for wideband oscillations analysis," Applied Energy, Elsevier, vol. 283(C).
    8. Khaoula Ghefiri & Aitor J. Garrido & Eugen Rusu & Soufiene Bouallègue & Joseph Haggège & Izaskun Garrido, 2018. "Fuzzy Supervision Based-Pitch Angle Control of a Tidal Stream Generator for a Disturbed Tidal Input," Energies, MDPI, vol. 11(11), pages 1-21, November.
    9. Henda Zorgani Agrebi & Naourez Benhadj & Mohamed Chaieb & Farooq Sher & Roua Amami & Rafik Neji & Neil Mansfield, 2021. "Integrated Optimal Design of Permanent Magnet Synchronous Generator for Smart Wind Turbine Using Genetic Algorithm," Energies, MDPI, vol. 14(15), pages 1-20, July.
    10. Aya M. Moheb & Enas A. El-Hay & Attia A. El-Fergany, 2022. "Comprehensive Review on Fault Ride-Through Requirements of Renewable Hybrid Microgrids," Energies, MDPI, vol. 15(18), pages 1-30, September.
    11. Zou, Jianxiao & Peng, Chao & Yan, Yan & Zheng, Hong & Li, Yan, 2014. "A survey of dynamic equivalent modeling for wind farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 956-963.
    12. Gaillard, A. & Poure, P. & Saadate, S. & Machmoum, M., 2009. "Variable speed DFIG wind energy system for power generation and harmonic current mitigation," Renewable Energy, Elsevier, vol. 34(6), pages 1545-1553.
    13. Jafarian, M. & Ranjbar, A.M., 2013. "The impact of wind farms with doubly fed induction generators on power system electromechanical oscillations," Renewable Energy, Elsevier, vol. 50(C), pages 780-785.
    14. Khaoula Ghefiri & Izaskun Garrido & Soufiene Bouallègue & Joseph Haggège & Aitor J. Garrido, 2018. "Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    15. Gupta, Akhilesh Prakash & Mohapatra, A. & Singh, S.N., 2021. "Measurement based parameters estimation of large scale wind farm dynamic equivalent model," Renewable Energy, Elsevier, vol. 168(C), pages 1388-1398.
    16. Khaoula Ghefiri & Soufiene Bouallègue & Izaskun Garrido & Aitor J. Garrido & Joseph Haggège, 2017. "Complementary Power Control for Doubly Fed Induction Generator-Based Tidal Stream Turbine Generation Plants," Energies, MDPI, vol. 10(7), pages 1-23, June.
    17. Wenying Liu & Rundong Ge & Huiyong Li & Jiangbei Ge, 2014. "Impact of Large-Scale Wind Power Integration on Small Signal Stability Based on Stability Region Boundary," Sustainability, MDPI, vol. 6(11), pages 1-24, November.
    18. Naemi, Mostafa & Brear, Michael J., 2020. "A hierarchical, physical and data-driven approach to wind farm modelling," Renewable Energy, Elsevier, vol. 162(C), pages 1195-1207.
    19. Ghasemi, Hosein & Gharehpetian, G.B. & Nabavi-Niaki, Seyed Ali & Aghaei, Jamshid, 2013. "Overview of subsynchronous resonance analysis and control in wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 234-243.
    20. Ye Fengchun & Girmaw Teshager Bitew & Han Minxiao & Sun Yao & Zhang Hanhua, 2019. "Variable Speed Pump Storage for the Mitigation of SSR in Power System with Wind Generation," Complexity, Hindawi, vol. 2019, pages 1-11, December.

    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:gam:jeners:v:13:y:2020:i:18:p:4607-:d:409117. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.