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Development of Reliability Model for Wind Farm Power GenerationNEMES, C. , MUNTEANU, F.
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electric power system, probability, wind power generation
wind(10), energy(6), power(5), reliability(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 24 - 29
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02004
Web of Science Accession Number: 000280312600004
SCOPUS ID: 77954636326
The objective of the present paper is to estimate the electric power distribution of a wind farm using the output power distribution and the probability of simultaneously running of wind turbines. In this paper, a methodology for the electric power distribution of a wind turbine, using the characteristic output power-wind and the Weibull distribution of wind speed was given first. The methodology was applied to a region from north-east of Romania, and finally, the analytic distributions were compared to Monte-Carlo simulation.
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| Ackermann T., "Wind Power in Power Systems", Ed. John Wiley & Sons 2005. [PermaLink]
 Endrenyi J., "Reliability modeling in electric power systems", Wiley and Sons, New York, 1978. [PermaLink]
 Manwell J. F., McGowan J. G, Rogers A. L., "Wind energy explained : theory, design and application", Ed. Wiley & Sons 2002. [PermaLink]
 Isaac Y. F. Lun, Joseph C. Lam, "A study of Weibull parameters using long-term wind observations", Renewable Energy Journal, Volume 20, Issue 2, June 2000, pp. 145-153.
 Carta J. A., Ramirez P., "A review of wind speed probability distributions used in wind energy analysis. Case studies in the Canary Islands", Renewable and Sustainable Energy Reviews, Volume 13, Issue 5, June 2009, Pages 933-955. Available: Temporary on-line reference link removed - see the PDF document
 Al-Fawzan M. A. , "Algorithms for Estimating the Parameters of the Weibull Distribution", Interstat journal. October 2000. Available: Temporary on-line reference link removed - see the PDF document
 Nemes C., Munteanu F., "New techniques for availability analysis", Ed. Politehnium Iasi, sept. 2008;
 Tina G., Gagliano S., Raiti S., "Hybrid solar/wind power system probabilistic modeling for long-term performance assessment", Elsevier Ltd. Solar Energy, Volume 80, Issue 5, May 2006, pp. 578-588.
[CrossRef] [Web of Science Times Cited 159] [SCOPUS Times Cited 210]
 Available: Temporary on-line reference link removed - see the PDF document
 Holmstrom, N. Barberis Negra1, "Survey of Reliability of Large Offshore Wind Farms", European Wind Energy Conference, Milan, Italy, 7-10 May 2007.
 Fotuhi-Firuzabad M., Salehi Dobakhshari A., "Reliability-based Selection of Wind Turbines for Large-Scale Wind Farms", World Academy of Science, Engineering and Technology volume 49, January 2009, pp. 734-740.
 Billinton R., "Reliability assessment of electric power systems using Monte Carlo methods", Plenum Press, 1994. [PermaLink]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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