Mendeley
TY  _  JOUR
ID  -  1394090713184573
TI  -  Wind Power Modeling Using Fuzzy-Markov Approach in Power System Reliability
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Ghaderi A.
AU  -   
AD  -  دانشگاه تربیت مدرس
AD  -  دانشگاه تربیت مدرس
Y1  -  2011
PY  -  2011
VL  -  2
IS  -  
SP  -  101
EP  -  106
KW  -  Capacity credit
fuzzy-Markov
Markov chain
Monte Carlo simulation
wind power
DO  -  
N2  -  As intermittent wind power generation becomes more significant in power generation, it becomes increasingly important to assess its impact on the generation reliability of power systems. Therefore, it is the objective of this paper to evaluate the impact of wind power on the power system reliability. In this paper, different approaches of wind power modeling are explained. Markov chain Monte Carlo (MCMC) and ARMA method are used to model of wind power output. Then Fuzzy-Markov method for wind power modeling is proposed. The proposed method is capable of modeling wind farms that have insufficient wind speed data. Finally, capacity credit of wind power is calculated.
UR  - rimag.ir/en/Article/28008
L1  - rimag.ir/en/Article/Download/28008
ER  -  
