A novel method for reliability and risk evaluation of wind energy conversion systems considering wind speed correlation
- 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/