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CLC number: TM614
On-line Access: 2013-06-04
Received: 2012-11-09
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Crosschecked: 2013-05-13
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A probabilistic model for assessing the reliability of wind farms in a power system
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Mostafa Hosseinpour, Habib Rajabi Mashhadi, Mohammad Ebrahim Hajiabadi. A probabilistic model for assessing the reliability of wind farms in a power system[J]. Journal of Zhejiang University Science C, 2013, 14(6): 464-474.
@article{title="A probabilistic model for assessing the reliability of wind farms in a power system",
author="Mostafa Hosseinpour, Habib Rajabi Mashhadi, Mohammad Ebrahim Hajiabadi",
journal="Journal of Zhejiang University Science C",
volume="14",
number="6",
pages="464-474",
year="2013",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1200317"
}
%0 Journal Article
%T A probabilistic model for assessing the reliability of wind farms in a power system
%A Mostafa Hosseinpour
%A Habib Rajabi Mashhadi
%A Mohammad Ebrahim Hajiabadi
%J Journal of Zhejiang University SCIENCE C
%V 14
%N 6
%P 464-474
%@ 1869-1951
%D 2013
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1200317
TY - JOUR
T1 - A probabilistic model for assessing the reliability of wind farms in a power system
A1 - Mostafa Hosseinpour
A1 - Habib Rajabi Mashhadi
A1 - Mohammad Ebrahim Hajiabadi
J0 - Journal of Zhejiang University Science C
VL - 14
IS - 6
SP - 464
EP - 474
%@ 1869-1951
Y1 - 2013
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1200317
Abstract: Modeling the generation of a wind farm and its effect on power system reliability is a challenging task, largely due to the random behavior of the output power. In this paper, we propose a new probabilistic model for assessing the reliability of wind farms in a power system at hierarchical level II (HLII), using a Monte Carlo simulation. The proposed model shows the effect of correlation between wind and load on reliability calculation. It can also be used for identifying the priority of various points of the network for installing new wind farms, to promote the reliability of the whole system. A simple grid at hierarchical level I (HLI) and a network in the north-eastern region of Iran are studied. Simulation results showed that the correlation between wind and load significantly affects the reliability.
[1]Billinton, R., Allan, R., 1996. Reliability Evaluation of Power Systems (2nd Ed.). Plenum, New York.
[2]Billinton, R., Harrington, P.G., 1978. Reliability evaluation in energy limited generating capacity studies. IEEE Trans. Power Appar. Syst., PAS-97(6):2076-2085.
[3]Billinton, R., Chen, H., Ghajar, R., 1996. Time-series models for reliability evaluation of power systems including wind energy. Microelectron. Reliab., 36(9):1253-1261.
[4]Billinton, R., Gao, Y., Karki, R., 2009. Composite system adequacy assessment incorporating large-scale wind energy conversion systems considering wind speed correlation. IEEE Trans. Power Syst., 24(3):1375-1382.
[5]Chowdhury, A.A., 2005. Reliability model for large wind farms in generation system planning. IEEE Trans. Power Syst., 2:1926-1932.
[6]Dobakhshari, A.S., Fotuhi-Firuzabad, M., 2009. A reliability model of large wind farms for power system adequacy studies. IEEE Trans. Energy Conv., 24(3):792-801.
[7]Giorsetto, P., Utsurogi, K., 1983. Development of a new procedure for reliability modeling of wind turbine generators. IEEE Trans. Power Appar. Syst., PAS-102(1):134-143.
[8]Haghifam, M.R., Omidvar, M., 2006. Wind Farm Modeling in Reliability Assessment of Power System. IEEE/Pmaps Conf. on Power System, p.1-5.
[9]Haghifam, M.R., Soltani, S., 2010. Reliability Models for Wind Farms in Generation System Planning. IEEE/Pmaps Conf. on Power System, p.436-441.
[10]Karki, R., Billinton, R., Bai, G., 2004. Risk Based Equivalent Wind Capacity in Power Generation Systems. Proc. 8th Int. Conf. on Probabilistic Methods Applied to Power Systems, p.463-469.
[11]Karki, R., Hu, P., Billinton, R., 2006. A simplified wind power generation model for reliability evaluation. IEEE Trans. Energy Conv., 21(2):533-540.
[12]Leite, A.P., Borges, C.L.T., Falcao, D.M., 2006. Probabilistic wind farms generation model for reliability studies applied to Brazilian sites. IEEE Trans. Power Syst., 21(4):1493-1501.
[13]Papaefthymiou, G., Klockl, B., 2008. MCMC for wind power simulation. IEEE Trans. Energy Conv., 23(1):234-240.
[14]Wang, X., Dai, H., Thomas, R., 1984. Reliability modeling of large wind farms and associated electric utility interface systems. IEEE Trans. Power Appar. Syst., PAS-103(3):569-575.
[15]Zhang, Y., Chowdhury, A.A., 2009. Reliability Assessment of Wind Generation in Planning and Operating Phases in Generation System. Proc. IEEE PES General Meeting, p.1-7.
[16]Zhang, Y., Chowdhury, A.A., Koval, D.O., 2011. Probabilistic wind energy modeling in electric generation system reliability assessment. IEEE Trans. Ind. Appl., 47(3):1507-1514.
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