Differential evolution algorithm for transmission network expansion planning based on AC load flow model

Transmission expansion planning has become a complicated process in the recent era. The fast growth of the transmission networks and the deregulation has introduced more factors to be considered in transmission expansion planning to the transmission network planners. The main goal of this process is to locate the additional transmission lines that must be added to meet the forecasted load in the system adequately with minimum cost. This work solves the transmission expansion planning using meta-heuristic algorithm by the means of differential evolution as an optimization tool. An AC load flow model is used in solving the TEP problem. DEA produced a high quality solution for the TEP problem.