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Reliability Assessment of Wind Farm Electrical System Based on a Probability Transfer Technique

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  • Hejun Yang

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

  • Lei Wang

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

  • Yeyu Zhang

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

  • Xianjun Qi

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

  • Lei Wang

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

  • Hongbin Wu

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

Abstract

The electrical system of a wind farm has a significant influence on the wind farm reliability and electrical energy yield. The disconnect switch installed in an electrical system cannot only improve the operating flexibility, but also enhance the reliability for a wind farm. Therefore, this paper develops a probabilistic transfer technique for integrating the electrical topology structure, the isolation operation of disconnect switch, and stochastic failure of electrical equipment into the reliability assessment of wind farm electrical system. Firstly, as the traditional two-state reliability model of electrical equipment cannot consider the isolation operation, so the paper develops a three-state reliability model to replace the two-state model for incorporating the isolation operation. In addition, a proportion apportion technique is presented to evaluate the state probability. Secondly, this paper develops a probabilistic transfer technique based on the thoughts that through transfer the unreliability of electrical system to the energy transmission interruption of wind turbine generators (WTGs). Finally, some novel indices for describing the reliability of wind farm electrical system are designed, and the variance coefficient of the designed indices is used as a convergence criterion to determine the termination of the assessment process. The proposed technique is applied to the reliability assessment of a wind farm with the different topologies. The simulation results show that the proposed techniques are effective in practical applications.

Suggested Citation

  • Hejun Yang & Lei Wang & Yeyu Zhang & Xianjun Qi & Lei Wang & Hongbin Wu, 2018. "Reliability Assessment of Wind Farm Electrical System Based on a Probability Transfer Technique," Energies, MDPI, vol. 11(4), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:744-:d:137972
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    References listed on IDEAS

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    1. Hamouda, Yasmina Abdellatif, 2012. "Wind energy in Egypt: Economic feasibility for Cairo," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3312-3319.
    2. MirHassani, S.A. & Yarahmadi, A., 2017. "Wind farm layout optimization under uncertainty," Renewable Energy, Elsevier, vol. 107(C), pages 288-297.
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    Cited by:

    1. Pedro Vieira & Mauro Rosa & Leonardo Bremermann & Erika Pequeno & Sandy Miranda, 2020. "Long-term Static and Operational Reserves Assessment Considering Operating and Market Agreements Representation to Multi-Area Systems," Energies, MDPI, vol. 13(6), pages 1-17, March.
    2. Fernando Manuel Carvalho da Silva Santos & Leonardo Elizeire Bremermann & Tadeu Da Mata Medeiros Branco & Diego Issicaba & Mauro Augusto da Rosa, 2018. "Impact Evaluation of Wind Power Geographic Dispersion on Future Operating Reserve Needs," Energies, MDPI, vol. 11(11), pages 1-13, October.
    3. Jinming Jiang & Xindong Wei & Weijun Gao & Soichiro Kuroki & Zhonghui Liu, 2018. "Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems," Energies, MDPI, vol. 11(6), pages 1-24, June.

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