Title :
Simulation and Estimation of Reliability in a Wind Farm Considering the Wake Effect
Author :
Kim, Hagkwen ; Singh, Chanan ; Sprintson, Alex
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
4/1/2012 12:00:00 AM
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.
Keywords :
Monte Carlo methods; correlation theory; losses; power generation reliability; wakes; wind power plants; IEEE reliability test systems; Jensen model; Monte Carlo technique; National Renewal Energy Laboratory; energy loss; reliability estimation; reliability indices; reliability simulation; shear effect; wake effect; wind direction; wind farm model; wind shade; wind speed; Load modeling; Power system reliability; Reliability; Wind farms; Wind speed; Wind turbines; Birth and death Markov chain; Monte Carlo simulation; correlation; exact transition rate method; wake effect; wake models; wind farm reliability; wind shade effect; wind shear effect;
Journal_Title :
Sustainable Energy, IEEE Transactions on
DOI :
10.1109/TSTE.2011.2174260