DocumentCode :
162959
Title :
A method to model the output power of wind farms in composite system reliability assessment
Author :
Sulaeman, Samer ; Benidris, Mohammed ; Mitra, Joydeep
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
2014
fDate :
7-9 Sept. 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper introduces a method to estimate the output power of a wind farm for composite reliability evaluation. The proposed method is presented in terms of capacity outage probability and frequency table (COPAFT) considering the mechanical failure of wind turbine generators (WTG) and the correlation between the outputs of turbines on a wind farm. Based on the proposed method, the output power of a wind farm is modeled as a single source with multiple derated states. The method has been applied on the IEEE RTS to investigate the effect of considering the mechanical failures of wind turbines on system reliability indices. The wind power is allocated at different buses of the IEEE RTS to calculate the well known reliability indices. The obtained results confirmed that locating wind farms at the buses that at a high risk enhances the overall reliability of the system than placing these farms at the buses of low risk. The proposed method provides a straightforward steps to estimate the outage of wind power due to input availability and mechanical failure of WTG. Further, it reduces the complexity of modeling the output power of wind farms considering the stochastic nature of wind speed and WTG mechanical availability.
Keywords :
power generation reliability; probability; turbogenerators; wind power plants; wind turbines; COPAFT; IEEE RTS; WTG; capacity outage probability and frequency table; composite reliability evaluation; composite system reliability assessment; mechanical failure; multiple-derated states; system reliability indices; wind farm output power modelling; wind power allocation; wind power outage estimation; wind turbine generators; Power system reliability; Reliability; Wind farms; Wind power generation; Wind speed; Wind turbines; Composite power system reliability evaluation; Frequency and duration indices; Wind power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2014
Conference_Location :
Pullman, WA
Type :
conf
DOI :
10.1109/NAPS.2014.6965475
Filename :
6965475
Link To Document :
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