DocumentCode :
1785663
Title :
Transient voltage stability constrained optimal sizing of wind farm considering uncertainty of wind speed
Author :
Mashayekhi, E. ; Aghamohammadi, M.R.
Author_Institution :
Fac. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran, Iran
fYear :
2014
fDate :
20-22 May 2014
Firstpage :
774
Lastpage :
781
Abstract :
The rapid increase in wind farms´ penetration level is remarkable. Hence, the investigation of the impact of wind farms on the stability of the system has become more important. In this paper, a new approach for optimal sizing of wind farm with consideration of transient voltage stability and uncertainty of wind speed is presented. For this purpose, PSO algorithm is adopted as search engine for finding the most proper generation capacity of wind farm. In this respect, the operation benefit of wind farms and the transient voltage stability of the system are regarded as two components of the objective function for maximization. Also, in order to consider the uncertainty due to wind speed, the Monte Carlo method has been used to model the uncertainty of the wind speed into planning process. The simulation studies have been performed on the IEEE 39-Bus (New England) system. The simulation results show that when the wind power penetration level increases, the transient security margin reduces but the operation benefit increases.
Keywords :
Monte Carlo methods; particle swarm optimisation; power system planning; power system transient stability; wind power plants; IEEE 39-Bus system; Monte Carlo method; PSO algorithm; transient voltage stability; wind farm; wind power penetration; wind speed; Circuit stability; Power system stability; Stability analysis; Transient analysis; Wind power generation; Wind speed; Monte Carlo; PSO; Transient Voltage Stability; Wind Power Plant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
Type :
conf
DOI :
10.1109/IranianCEE.2014.6999641
Filename :
6999641
Link To Document :
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