Mohammad Yazdani - Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Hamed Musazadeh - Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Hamid Asadi Bagal - Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Alireza Noruzi - Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

In this paper, a method is proposed for sizing, sitting and service area determination of sub-transmission substations from among candidate and available substations considering distributed generations. In this way, an economic objective function along with required constraints are utilized for the implementation of an economic-technical design. In addition, with regard to the uncertainty in load forecasting, each of the load centers is considered as a fuzzy model. Moreover, fuzzy sets are employed to model uncertainties. Due to the problem complexity and several factors involved, problem optimization is completed using robust GSO algorithm. Several tests on a realistic network have been carried out to demonstrate the effectiveness of the present optimization method

Sub-transmission Substations, Distributed Generations, Fuzzy Model, Load Uncertainty, GSO Algorithm