Substation and transmission line expansion planning using Adaptive Tabu search algorithm

This article presents an approach which optimizes the total investment cost of new transmission substations and transmission lines supplying the forecasted emerging distribution substations. By considering a set of system constraints, an Adaptive Tabu search algorithm is proposed to find the optimal solution from the set of candidate substations and transmission lines which are calculated from the mathematical clustering and power flow tracing techniques respectively. The proposed algorithm is tested in a modified IEEE Reliability Test System 79. The results show that the proposed method is efficient and promising.