Distribution Simultaneous Sizing, Sitting, and Service Area Determination of Sub-transmission Substations and Distributed Generations Considering Load Uncertainty by GSO Algorithm

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

Keywords:

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