|2/2010 - 4|
Development of Reliability Model for Wind Farm Power GenerationNEMES, C. , MUNTEANU, F.
|Click to see author's profile on SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (738 KB) | Citation | Downloads: 1,133 | Views: 3,681|
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.
|References|||||Cited By «-- Click to see who has cited this paper|
| 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 168] [SCOPUS Times Cited 223]
 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]
Web of Science® Citations for all references: 168 TCR
SCOPUS® Citations for all references: 223 TCR
Web of Science® Average Citations per reference: 14 ACR
SCOPUS® Average Citations per reference: 19 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2018-03-21 00:54 in 14 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.