A novel method for reliability and risk evaluation of wind energy conversion systems considering wind speed correlation
详细信息    查看全文
  • 作者:Seyed Mohsen Miryousefi Aval ; Amir Ahadi ; Hosein Hayati
  • 关键词:doubly ; fed induction generator (DFIG) ; composite system adequacy assessment ; wind speed correlation
  • 刊名:Frontiers in Energy
  • 出版年:2016
  • 出版时间:March 2016
  • 年:2016
  • 卷:10
  • 期:1
  • 页码:46-56
  • 全文大小:1,490 KB
  • 参考文献:1.Hua B. Correlation between carbon emissions and energy structure–reliability analysis of low carbon target. Frontiers in Energy, 2011, 5 (2): 214–220CrossRef
    2.Zhang P, Huang S H. Review of aeroelasticity for wind turbine: current status, research focus and future perspectives. Frontiers in Energy, 2011, 5(4): 419–434
    3.Bekakra Y, Ben Attous D. DFIG sliding mode control fed by backto- back PWM converter with DC-link voltage control for variable speed wind turbine. Frontiers in Energy, 2014, 8(3): 345–354CrossRef
    4.Tamaarat A, Benakcha A. Performance of PI controller for control of active and reactive power in DFIG operating in a grid-connected variable speed wind energy conversion system. Frontiers in Energy, 2014, 8(3): 371–378CrossRef
    5.Verma Y P, Kumar A. Dynamic contribution of variable-speed wind energy conversion system in system frequency regulation. Frontiers in Energy, 2012, 6(2): 184–192CrossRef
    6.Karaki S H, Salim B A, Chedid R B. Probabilistic model of a twosite wind energy conversion system. IEEE Transactions on Energy Conversion, 2002, 17(4): 530–536CrossRef
    7.Billinton R, Chen H, Ghajar R. Time-series models for reliability evaluation of power systems including wind energy. Microelectronics and Reliability, 1996, 36(9): 1253–1261CrossRef
    8.Billinton R, Gao Y. Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy. IEEE Transactions on Energy Conversion, 2008, 23(1): 163–170CrossRef
    9.Billinton R, Gao Y. Adequacy assessment of composite power generation and transmission systems with wind energy. International Journal of Reliability and Safety, 2008, 2(1/2): 79–98CrossRef
    10.Negra N B, Holmstrom O, Bak-Jesen B, Sorensen P. Aspects of relevance in offshore wind farm reliability assessment. IEEE Transactions on Energy Conversion, 2007, 22(1): 159–166CrossRef
    11.Vallee F, Lobry J, Deblecker O. Impact of the wind geographical correlation level for reliability studies. IEEE Transactions on Power Systems, 2007, 22(4): 2232–2239CrossRef
    12.Wangdee W, Billinton R. Considering load-carrying capability and wind speed correlation of WECS in generation adequacy assessment. IEEE Transactions on Energy Conversion, 2006, 21(3): 734–741CrossRef
    13.Wen J, Zheng Y, Donghan F. A review on reliability assessment for wind power. Renewable & Sustainable Energy Reviews, 2009, 13 (9): 2485–2494CrossRef
    14.Giorsetto P, Utsurogi K F. Development of a new procedure for reliability modeling of wind turbine generators. IEEE Transactions on Power Apparatus and Systems, 1983, PAS-102(1): 134–143CrossRef
    15.Deshmukh R G, Ramakumar R. Reliability analysis of combined wind-electric and conventional generation systems. Solar Energy, 1982, 28(4): 345–352CrossRef
    16.Singh C, Kim Y. An efficient technique for reliability analysis of power systems including time dependent sources. IEEE Transactions on Power Systems, 1988, 3(3): 1090–1096CrossRef
    17.Billinton R, Chen H, Chajar R. A sequential simulation technique for adequacy evaluation of generating systems including wind energy. IEEE Transactions on Energy Conversion, 1996, 11(4): 728–734CrossRef
    18.V90–1.8MW & 2MW Built on experience, Vestas Wind Systems A/S, Randers, Denmark, 2007, https://​www.​vestas.​com/​

19.VGB 116 D2 Guideline reference designation system for power plants (RDS-PP) Application explanations for wind power plants, VGB PowerTech, Essen, Germany, 2007, http://​www.​vgb.​org/​en/​

20.V90–1.8MW/2MW, VestasWind Systems A/S, Randers, Denmark, 2009, https://​www.​vestas.​com/​

21.V90–1.8MW/2MW, VestasWind Systems A/S, Randers, Denmark, 2010, https://​www.​vestas.​com/​

22.Ahadi A, Ghadimi N, Mirabbasi D. An analytical methodology for assessment of smart monitoring impact on future electric power distribution system reliability. Complexity, 2014
23.Ahadi A, Ghadimi N, Mirabbasi D. Reliability assessment for components of large scale photovoltaic systems. Journal of Power Sources, 2014, 264: 211–219CrossRef
24.Casteren J V. Power system reliability assessment using the Weibull-Markov model. Dissertation for the Master’s Degree. Gteborg: Charmels University of Technology, 2001
25.Manwell J F, McGowan J G, Rogers A L. Wind Energy Explained: Theory, Design and Application. New York: Wiley, 2002CrossRef
26.Billinton R, Li W. Reliability Assessment of Electric Power Systems Using Monte Carlo Methods. New York: Plenum Press, 1994CrossRef MATH
27.Billinton R, Kumar S, Chowdhury N, Chu K, Debnath K, Goel L, Khan E, Kos P, Nourbakhsh G, Oteng-Adjei J. A reliability test system for educational purposes–basic data. IEEE Transactions on Power Systems, 1989, 4(3): 1238–1244CrossRef
28.Albrecht P F, Bhavaraju M P, Biggerstaff B E, Billinton R, Jorgensen G E, Reppen N D, Shortley P B. IEEE task force: IEEE reliability test system. IEEE Transactions on Power Apparatus and Systems, 1979, PAS-98(6): 2047–2054CrossRef
29.Allan R N, Billinton R, Sjarief I, Goel L, So K S. A reliability test system for educational purposes basic distribution system data and results. IEEE Transactions on Power Systems, 1991, 6(2): 813–820CrossRef
30.Billinton R, Allan R N. Reliability Evaluation of Power Systems, 2nd ed. New York: Plenum, 1994
31.Chen F, Li F, Wei Z, Sun G, Li J. Reliability models of wind farms considering wind speed correlation and WTG outage. Electric Power Systems Research, 2015, 119: 385–392CrossRef
  • 作者单位:Seyed Mohsen Miryousefi Aval (1)
    Amir Ahadi (1)
    Hosein Hayati (1)

    1. Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran
  • 刊物类别:Engineering
  • 刊物主题:Chinese Library of Science
    Energy Technology
  • 出版者:Higher Education Press, co-published with Springer-Verlag GmbH
  • ISSN:2095-1698
  • 文摘
    This paper investigates an analytical approach for the reliability modeling of doubly fed induction generator (DFIG) wind turbines. At present, to the best of the authors’ knowledge, wind speed and wind turbine generator outage have not been addressed simultaneously. In this paper, a novel methodology based on the Weibull- Markov method is proposed for evaluating the probabilistic reliability of the bulk electric power systems, including DFIG wind turbines, considering wind speed and wind turbine generator outage. The proposed model is presented in terms of appropriate wind speed modeling as well as capacity outage probability table (COPT), considering component failures of the wind turbine generators. Based on the proposed method, the COPT of the wind farm has been developed and utilized on the IEEE RBTS to estimate the well-known reliability and sensitive indices. The simulation results reveal the importance of inclusion of wind turbine generator outage as well as wind speed in the reliability assessment of the wind farms. Moreover, the proposed method reduces the complexity of using analytical methods and provides an accurate reliability model for the wind turbines. Furthermore, several case studies are considered to demonstrate the effectiveness of the proposed method in practical applications.

    © 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

    地址:北京市海淀区学院路29号 邮编:100083

    电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700