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A new fault detection and fault location method for multi-terminal high voltage direct current of offshore wind farm

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  • Li, Jianwei
  • Yang, Qingqing
  • Mu, Hao
  • Le Blond, Simon
  • He, Hongwen

Abstract

This paper proposes a novel protection scheme for multi-terminal High Voltage Direct Current (MTDC) systems incorporating offshore wind farm based on high-frequency components detected from the fault current signal. This method can accurately detect the fault on each line and classify the fault types. Using the post-fault current time series, both single-ended measurements (detection and classification) and double-end measurements (location), the frequency spectrum is generated to measure the gaps between the contiguous peak frequencies giving a robust and comprehensive scheme. Unlike the previous travelling wave based methods, which must identify the travelling wavefront and require a high sampling rate, the new gap-based approach is able to give accurate fault detection and fault location using any appropriate range of post-fault signals. Furthermore, the proposed method is fault resistance independent and thus even a very high fault impedance has no effect on the fault location detection. By immediately tripping the faults, the fault-caused disturbance to the offshore wind farm is minimized. A three-terminal voltage sourced converter HVDC (VSC-HVDC) system connection of offshore wind farm is modelled in PSCAD/EMTDC (Power Systems Computer Aided Design/Electro-Magnetic Transients including DC) software, which is used for obtaining the fault current data for the transmission line terminal. The algorithm is verified by studying a range of cases, by varying the fault resistance fault locations and also including external faults. The results show that the proposed method gives an accurate and reliable fault detection, classification and location on the test MTDC system.

Suggested Citation

  • Li, Jianwei & Yang, Qingqing & Mu, Hao & Le Blond, Simon & He, Hongwen, 2018. "A new fault detection and fault location method for multi-terminal high voltage direct current of offshore wind farm," Applied Energy, Elsevier, vol. 220(C), pages 13-20.
    • Handle: RePEc:eee:appene:v:220:y:2018:i:c:p:13-20
    DOI: 10.1016/j.apenergy.2018.03.044
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    1. de Prada Gil, Mikel & Gomis-Bellmunt, Oriol & Sumper, Andreas, 2014. "Technical and economic assessment of offshore wind power plants based on variable frequency operation of clusters with a single power converter," Applied Energy, Elsevier, vol. 125(C), pages 218-229.
    2. Li, Jianwei & Yang, Qingqing & Robinson, Francis. & Liang, Fei & Zhang, Min & Yuan, Weijia, 2017. "Design and test of a new droop control algorithm for a SMES/battery hybrid energy storage system," Energy, Elsevier, vol. 118(C), pages 1110-1122.
    3. Blond, S. Le & Bertho, R. & Coury, D.V. & Vieira, J.C.M., 2016. "Design of protection schemes for multi-terminal HVDC systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 965-974.
    4. Gomis-Bellmunt, Oriol & Junyent-Ferré, Adrià & Sumper, Andreas & Galceran-Arellano, Samuel, 2010. "Maximum generation power evaluation of variable frequency offshore wind farms when connected to a single power converter," Applied Energy, Elsevier, vol. 87(10), pages 3103-3109, October.
    5. Li, Jianwei & Xiong, Rui & Yang, Qingqing & Liang, Fei & Zhang, Min & Yuan, Weijia, 2017. "Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system," Applied Energy, Elsevier, vol. 201(C), pages 257-269.
    6. Xiong, Rui & Cao, Jiayi & Yu, Quanqing, 2018. "Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle," Applied Energy, Elsevier, vol. 211(C), pages 538-548.
    7. Song, Ziyou & Hou, Jun & Xu, Shaobing & Ouyang, Minggao & Li, Jianqiu, 2017. "The influence of driving cycle characteristics on the integrated optimization of hybrid energy storage system for electric city buses," Energy, Elsevier, vol. 135(C), pages 91-100.
    8. Li, Jianwei & Wang, Xudong & Zhang, Zhenyu & Le Blond, Simon & Yang, Qingqing & Zhang, Min & Yuan, Weijia, 2017. "Analysis of a new design of the hybrid energy storage system used in the residential m-CHP systems," Applied Energy, Elsevier, vol. 187(C), pages 169-179.
    9. Li, Jianwei & Gee, Anthony M. & Zhang, Min & Yuan, Weijia, 2015. "Analysis of battery lifetime extension in a SMES-battery hybrid energy storage system using a novel battery lifetime model," Energy, Elsevier, vol. 86(C), pages 175-185.
    10. Kapsali, M. & Kaldellis, J.K. & Anagnostopoulos, J.S., 2016. "Investigating the techno-economic perspectives of high wind energy production in remote vs interconnected island networks," Applied Energy, Elsevier, vol. 173(C), pages 238-254.
    11. Trujillo, C.L. & Velasco, D. & Guarnizo, J.G. & Díaz, N., 2011. "Design and implementation of a VSC for interconnection with power grids, using the method of identification the system through state space for the calculation of controllers," Applied Energy, Elsevier, vol. 88(9), pages 3169-3175.
    12. Raza, Muhammad & Collados, Carlos & Gomis-Bellmunt, Oriol, 2017. "Reactive power management in an offshore AC network having multiple voltage source converters," Applied Energy, Elsevier, vol. 206(C), pages 793-803.
    13. Li, Jianwei & Xiong, Rui & Mu, Hao & Cornélusse, Bertrand & Vanderbemden, Philippe & Ernst, Damien & Yuan, Weijia, 2018. "Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime," Applied Energy, Elsevier, vol. 218(C), pages 470-478.
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    5. 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).
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    8. Navid Bayati & Mehdi Savaghebi, 2021. "Protection Systems for DC Shipboard Microgrids," Energies, MDPI, vol. 14(17), pages 1-20, August.
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    10. Perez-Molina, M.J. & Larruskain, D.M. & Eguia Lopez, P. & Buigues, G. & Valverde, V., 2021. "Review of protection systems for multi-terminal high voltage direct current grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    11. Nguyen, Thi Anh Tuyet & Chou, Shuo-Yan, 2019. "Improved maintenance optimization of offshore wind systems considering effects of government subsidies, lost production and discounted cost model," Energy, Elsevier, vol. 187(C).
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