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A Hybrid Reliability Evaluation Method for Meshed VSC-HVDC Grids

Author

Listed:
  • Haipeng Xie

    (The State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zhaohong Bie

    (The State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yanling Lin

    (The State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China)

  • Chao Zheng

    (The Department of Research and Application of New Technology, China Electric Power Research Institution, Beijing 100192, China)

Abstract

High-voltage direct current (HVDC) grids are emerging, and their reliability has been an increasing concern for the utilities. HVDC grids are different from typical two-terminal HVDC transmission systems due to the loops in their topology, which makes it difficult to evaluate the reliability by conventional analytical methods. This paper proposes an innovative hybrid method to evaluate the reliability of meshed HVDC grids. First, steady-state models and reliability models are established for the components in HVDC grids, especially for converters and power flow controllers. In the models, virtual buses are introduced to represent the external AC connections to the HVDC grid. Then a hybrid reliability evaluation method is proposed based on an analytical approach and Monte Carlo simulation. One innovation of the paper is the application of an analytical analysis method to accelerate state evaluation in Monte Carlo simulation by skipping unnecessary optimization. The proposed models and methods are verified on two HVDC grids. Test results show that HVDC grids under most failure states (approximately 70%) tend to shed no load except on buses connected to faulted converters, and the application of the analytical method could promote evaluation efficiency significantly.

Suggested Citation

  • Haipeng Xie & Zhaohong Bie & Yanling Lin & Chao Zheng, 2017. "A Hybrid Reliability Evaluation Method for Meshed VSC-HVDC Grids," Energies, MDPI, vol. 10(7), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:895-:d:103343
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    References listed on IDEAS

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    1. Rodrigo Teixeira Pinto & Sílvio Fragoso Rodrigues & Edwin Wiggelinkhuizen & Ricardo Scherrer & Pavol Bauer & Jan Pierik, 2012. "Operation and Power Flow Control of Multi-Terminal DC Networks for Grid Integration of Offshore Wind Farms Using Genetic Algorithms," Energies, MDPI, vol. 6(1), pages 1-26, December.
    2. Van Hertem, Dirk & Ghandhari, Mehrdad, 2010. "Multi-terminal VSC HVDC for the European supergrid: Obstacles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3156-3163, December.
    3. Sheng Jie Shao & Vassilios G. Agelidis, 2010. "Review of DC System Technologies for Large Scale Integration of Wind Energy Systems with Electricity Grids," Energies, MDPI, vol. 3(6), pages 1-17, June.
    4. Xinyin Zhang & Zaijun Wu & Minqiang Hu & Xianyun Li & Ganyun Lv, 2015. "Coordinated Control Strategies of VSC-HVDC-Based Wind Power Systems for Low Voltage Ride Through," Energies, MDPI, vol. 8(7), pages 1-19, July.
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    Cited by:

    1. Bo Pang & Heng Nian, 2019. "Improved Operation Strategy with Alternative Control Targets for Voltage Source Converter under Harmonically Distorted Grid Considering Inter-Harmonics," Energies, MDPI, vol. 12(7), pages 1-14, March.
    2. Weipeng Yang & Aimin Zhang & Jungang Li & Guoqi Li & Hang Zhang & Jianhua Wang, 2017. "Integral Plus Resonant Sliding Mode Direct Power Control for VSC-HVDC Systems under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 10(10), pages 1-17, October.
    3. Yi Liu & Zhanqing Yu & Haibo Li & Rong Zeng, 2019. "The LCOE-Indicator-Based Comprehensive Economic Comparison between AC and DC Power Distribution Networks with High Penetration of Renewable Energy," Energies, MDPI, vol. 12(24), pages 1-15, December.
    4. Yinze Ren & Hongbin Wu & Hejun Yang & Shihai Yang & Zhixin Li, 2018. "A Method for Load Classification and Energy Scheduling Optimization to Improve Load Reliability," Energies, MDPI, vol. 11(6), pages 1-19, June.

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