A Genetic Algorithm for Transmission Network Expansion Planning Considering Line Maintenance

This paper proposes a decimal codification genetic algorithm to solve the transmission network expansion planning (TNEP) problem considering the economic impact of line maintenance. The goal is to extend the lifespan of the time-worn lines in order to reduce the investment cost in the expansion of the transmission network and to improve the worth of the transmission system. To assess the economic impact of the maintenance on the deterioration of transmission lines and transformers, the sum of years digit method is implemented. The proposed algorithm is evaluated using the IEEE reliability test system, and the assessment of the results shows that by including the effect of line maintenance on the TNEP problem, significant savings can be made in the overall cost of the system.This work was supported by the Coordination for the Improvement of Higher Education Personnel (CAPES) – Finance Code 001; the Brazilian National Council for Scientific and Technological Development (CNPq), grant 305852/2017-5; the São Paulo Research Foundation (FAPESP), under grants 2015/21972-6, 2016/12190-7, 2018/08008-4, 2018/20355-1, and 2019/19632-3; and by National Funds through the FCT Portuguese Foundation for Science and Technology, under project PTDC/EEI-EEE/28983/2017 (CENERGETIC