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Transient current similarity based protection for wind farm transmission lines

Author

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  • Jia, Ke
  • Li, Yanbin
  • Fang, Yu
  • Zheng, Liming
  • Bi, Tianshu
  • Yang, Qixun

Abstract

Large-scale wind farms are usually integrated into the transmission system. Applying traditional steady-state power-frequency based protection strategies in these transmission lines creates challenges such as: (1) the fault current of the wind farm might be dominated by non-power-frequency components caused by the activation of their own protection systems during fault ride through (FRT). The frequency of the dominant component is determined by the rotor speed at the fault inception and might vary from 0.7 to 1.3 times the power frequency. This will create errors in phasors calculated at the power-frequency. (2) The steady-state fault current angles of wind farms are fully controlled by their power converters. The variety of control actions of the different converters during FRT makes these phase angles greatly deviate from those of the synchronous generators. Protection systems that use double-ended phasors such as current differential schemes will suffer from low sensitivity or even malfunction when large-scale wind farms are integrated. Therefore, a novel full-time transient current waveform similarity based protection scheme is proposed to deal with these issues. The full-time current protection scheme uses both the power-frequency and non-power-frequency characteristics and can therefore reduce the influence of power-frequency phasor calculation errors to a minimum. The proposed method uses the transient current (within 10 ms after the fault inception) and is ignores the features of the steady-state fault current. In other words, the proposed protection is suitable for wind farms with a variety of controls. In the proposed method, the correlation coefficient index is used to calculate the similarity of the transient current signals at both ends of the line. Both experimental and field testing results show that using a common sampling frequency, the proposed protection scheme only uses current information and can correctly identify all types of external and internal line faults in a short period of time and can offer better performance for high fault resistance and noise, both for different types of wind farms. All these features and contributions make the new protection feasible for industry application.

Suggested Citation

  • Jia, Ke & Li, Yanbin & Fang, Yu & Zheng, Liming & Bi, Tianshu & Yang, Qixun, 2018. "Transient current similarity based protection for wind farm transmission lines," Applied Energy, Elsevier, vol. 225(C), pages 42-51.
  • Handle: RePEc:eee:appene:v:225:y:2018:i:c:p:42-51
    DOI: 10.1016/j.apenergy.2018.05.012
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    References listed on IDEAS

    as
    1. Gupta, Neeraj, 2016. "A review on the inclusion of wind generation in power system studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 530-543.
    2. Capuder, Tomislav & Pandžić, Hrvoje & Kuzle, Igor & Škrlec, Davor, 2013. "Specifics of integration of wind power plants into the Croatian transmission network," Applied Energy, Elsevier, vol. 101(C), pages 142-150.
    3. Badihi, Hamed & Zhang, Youmin & Hong, Henry, 2017. "Fault-tolerant cooperative control in an offshore wind farm using model-free and model-based fault detection and diagnosis approaches," Applied Energy, Elsevier, vol. 201(C), pages 284-307.
    4. Feng, Yi & Lin, Heyun & Ho, S.L. & Yan, Jianhu & Dong, Jianning & Fang, Shuhua & Huang, Yunkai, 2015. "Overview of wind power generation in China: Status and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 847-858.
    5. Ren, Guorui & Wan, Jie & Liu, Jinfu & Yu, Daren & Söder, Lennart, 2018. "Analysis of wind power intermittency based on historical wind power data," Energy, Elsevier, vol. 150(C), pages 482-492.
    6. Rodrigues, S. & Restrepo, C. & Kontos, E. & Teixeira Pinto, R. & Bauer, P., 2015. "Trends of offshore wind projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1114-1135.
    7. Fthenakis, Vasilis & Kim, Hyung Chul, 2009. "Land use and electricity generation: A life-cycle analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1465-1474, August.
    8. Yao, Jun & Liu, Ruikuo & Zhou, Te & Hu, Weihao & Chen, Zhe, 2017. "Coordinated control strategy for hybrid wind farms with DFIG-based and PMSG-based wind farms during network unbalance," Renewable Energy, Elsevier, vol. 105(C), pages 748-763.
    9. Brouwer, Anne Sjoerd & van den Broek, Machteld & Seebregts, Ad & Faaij, André, 2015. "Operational flexibility and economics of power plants in future low-carbon power systems," Applied Energy, Elsevier, vol. 156(C), pages 107-128.
    10. Anandarajah, Gabrial & Gambhir, Ajay, 2014. "India’s CO2 emission pathways to 2050: What role can renewables play?," Applied Energy, Elsevier, vol. 131(C), pages 79-86.
    11. Song, Zhanfeng & Xia, Changliang & Shi, Tingna, 2010. "Assessing transient response of DFIG based wind turbines during voltage dips regarding main flux saturation and rotor deep-bar effect," Applied Energy, Elsevier, vol. 87(10), pages 3283-3293, October.
    12. Ren, Guorui & Liu, Jinfu & Wan, Jie & Guo, Yufeng & Yu, Daren, 2017. "Overview of wind power intermittency: Impacts, measurements, and mitigation solutions," Applied Energy, Elsevier, vol. 204(C), pages 47-65.
    13. Wang, Mingshen & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Yu, Xiaodan & Qi, Yan, 2017. "Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles," Applied Energy, Elsevier, vol. 185(P2), pages 1673-1683.
    14. Shahriari, Mehdi & Blumsack, Seth, 2017. "Scaling of wind energy variability over space and time," Applied Energy, Elsevier, vol. 195(C), pages 572-585.
    15. Yang, Jin & Song, Dan & Wu, Feng, 2017. "Regional variations of environmental co-benefits of wind power generation in China," Applied Energy, Elsevier, vol. 206(C), pages 1267-1281.
    16. Guirguis, David & Romero, David A. & Amon, Cristina H., 2016. "Toward efficient optimization of wind farm layouts: Utilizing exact gradient information," Applied Energy, Elsevier, vol. 179(C), pages 110-123.
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    Cited by:

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    4. Ukashatu Abubakar & Saad Mekhilef & Hazlie Mokhlis & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski & Hussain Bassi & Muhyaddin Jamal Hosin Rawa, 2018. "Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies," Energies, MDPI, vol. 11(9), pages 1-33, August.
    5. Xu Li & Yuping Lu & Tao Huang, 2020. "Impact of the DFIG-Based Wind Farm Connection on the Fault Component-Based Directional Relay and a Mitigation Countermeasure," Energies, MDPI, vol. 13(17), pages 1-27, August.
    6. Yingyu Liang & Guanjun Xu & Wenting Zha & Cong Wang, 2019. "Adaptability Analysis of Fault Component Distance Protection on Transmission Lines Connected to Photovoltaic Power Stations," Energies, MDPI, vol. 12(8), pages 1-19, April.
    7. Joshua, Ann Mary & Vittal, K. Panduranga, 2023. "Superimposed current based differential protection scheme for AC microgrid feeders," Applied Energy, Elsevier, vol. 341(C).
    8. Changping Li & Xiaohui Wang & Longchen Duan & Bo Lei, 2022. "Study on a Discharge Circuit Prediction Model of High-Voltage Electro-Pulse Boring Based on Bayesian Fusion," Energies, MDPI, vol. 15(10), pages 1-12, May.

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