Simulation and Estimation of Reliability in a Wind Farm Considering the Wake Effect Academic Article

abstract

• In this paper, wake effect is explicitly incorporated in the reliability evaluation of a wind farm. Energy loss resulting from this effect is included in calculating the reliability indices. Three models for wake effect are discussed and the Jensen model is used in this research. In this model, wind shade, shear effect, and wind direction are also reflected. After incorporating the wake effect, the Monte Carlo technique is used to compute reliability indices. Wind farm model and correlation between load and wind speed are considered. The proposed methodology is applied to a wind farm using wind speed data from the National Renewal Energy Laboratory and load from IEEE Reliability Test Systems. The simulation results show that the proposed techniques are effective and efficient in practical applications. 2012 IEEE.

authors

• Singh, Chanan

published proceedings

• IEEE TRANSACTIONS ON SUSTAINABLE ENERGY

author list (cited authors)

• Kim, H., Singh, C., & Sprintson, A.

citation count

• 87

publication date

• April 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Birth And Death Markov Chain
• Correlation
• Exact Transition Rate Method
• Monte Carlo Simulation
• Wake Effect
• Wake Models
• Wind Farm Reliability
• Wind Shade Effect
• Wind Shear Effect

Digital Object Identifier (DOI)

• 10.1109/TSTE.2011.2174260

start page

• 274

end page

• 282

volume

• 3

issue

• 2

URL

• http://dx.doi.org/10.1109/tste.2011.2174260

user-defined tag

• 7 Affordable and Clean Energy