Comparison of Clustering Approaches for Reliability Simulation of a Wind Farm Conference Paper

abstract

• There exists a certain level of correlation between wind speed and load. This paper uses clustering algorithms to consider these two correlated variables. Eight different approaches are presented, applied to a wind farm, and finally, compared using reliability analysis. As a system simulation methodology, Monte Carlo is used for reliability analysis and estimation. This paper suggests using the efficient clustering approach in a wind farm to compute a reliability index. 2012 IEEE.

name of conference

• 2012 IEEE International Conference on Power System Technology (POWERCON)

authors

• Singh, Chanan

published proceedings

• 2012 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON)

author list (cited authors)

• Kim, H., & Singh, C.

citation count

• 2

complete list of authors

• Kim, Hagkwen||Singh, Chanan

publication date

• October 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Clustering Algorithms
• Monte Carlo
• System Reliability
• Wake Effect Models

Digital Object Identifier (DOI)

• 10.1109/powercon.2012.6401273

International Standard Book Number (ISBN) 13

• 9781467328685

start page

• 1

end page

• 6

URL

• http://dx.doi.org/10.1109/powercon.2012.6401273

user-defined tag

• 7 Affordable and Clean Energy