Optimal Transmission System Expansion Planning Via Binary Bat Algorithm

This paper presents an approach procedure based on binary bat algorithm (BBA) for solving the transmission system expansion planning (TSEP) problem. The proposed BBA is applied to achieve the comprehensive objective function with the lowest investment and operation costs by finding the optimal distributions of new transmission lines at different operating conditions. The suggested operating conditions are the normal and the contingency such as any single line outage (one by one). The AC optimal power flow (AC-OPF) using MATPOWER is utilized to find the OPF calculations. The proposed BBA is tested on Garver's 6-bus test system and the west Delta system (WDS) 21-bus as a part of the Egyptian electricity transmission network (EETN) to solve the TSEP problem and the results are compared with other techniques to prove the robustness of the proposed procedure for solving the TSEP problem considering different technical and economic benefits.