GABC optimization algorithm for solving simultaneous transmission expansion planning and substation expansion planning

This paper presents the Gbest-guided Artificial Bee Colony (GABC) optimization technique for solving the transmission and substation expansion planning simultaneously. The motive of the proposed approach is to minimize the summation of the Transmission line Investment Cost (TIC) and the Operation Cost (OC). The OC is the combination of the fuel cost of generating units and the total wind power uncertainty cost (TWC). To reduce the power demand now-a-days more renewable energy resources are integrating in the system by the system operator. Hence, this work also adopted the wind power uncertainty factor. The DC power flow model is used to formulate the mathematical structure of Simultaneous Transmission and Substation Expansion Planning (STSEP) problem. To have more complexity on the proposed problem load uncertainties are also considered. The proposed model is tested on the modified IEEE 24-bus reliability test system. Different case studies are considered to demonstrate the effectiveness of the adopted study. Detailed analyses on the numerical results are briefly presented. The results obtained indicate that with load variations the total cost of the system has increased, as well as the selection of lines and substations have also varied.