ABSTRACT

SRIWATI. The Implementation of Genetic Algorithm in Determining the Optimum Cross-Section Area of Conductor in Electrical Power Transmission Network (supervised by Salama Manjang and Yustinus Upa Sombolayuk). 

In designing an electrical power transmission network, it is very important to determine the optimum conductor’s cross-section area to reduce losses and to minimize the investment cost. The goal of this research is to develop an optimization method to determine the cross-section area of the conductor in order to minimize the investment and the operational costs. For this purpose, a numerical simulation based on the genetic algorithm is computed using Delphi programming language. Several genetic parameters including mutation, crossover, the number of population and the number of iteration have been selected to provide the best results.

The computation has shown that 240 mm2 is the optimum cross-section area of the conductor, which is conforming the standard established by the Indonesian Electrical Power Company (PLN). The annual costs of Rp. 17.589.962,11/km has been reduced to Rp. 17.189.467.11/km yielding an annual saving of Rp. 400.495,00/km or 2.28%.