m navidi - Guilan Regional Electric Company, Rasht, Iran
h afrakhte - Electrical Engineering Department, Guilan University, Rasht, Iran
amir Shabanzadeh - Electrical Engineering Department, Mehrastan University, Astaneh-ye Ashrafiyeh, Iran

Due to high penetration of Renewable Energy Such as photovoltaic and wind resoures , this paper presents a new method for Reliability evaluation in active distribution networks. First, the renewable unit models are developed by considering the component failure rates and uncertain nature of renewable energy Sources. Next, we use Fuzzy c-means clustering Method to obtain the required number of generation States from the hourly- data.The Markov process is used to obtain both wind and P.V models.Then, these renewable models are added to a radial distribution System and different reliability indices are calculated.

Reliability evaluation, Markov models, C-means clustering, wind farm, Photovoltaic farm