An Optimization of Power Distribution Network Configuration with Distributed Generator Integration Using Genetic Algorithm

Abstract

The limitations of fossil fuels make renewable energy system increasingly popular. The power plant is usually integrated into an electric power distribution network called a distributed generator (DG). The integration of DG in the distribution network makes the network scheme change. We need to do some re-planning with the presence of DG to improve distribution network performance. This paper discusses applying the genetic algorithm (GA) method for optimization to improve the network performance. The presence of DG makes the distribution network more dynamic. The GA method with the ability to avoid local minima is the answer to the existing problems. The system test was carried out on an IEEE 69-bus network model. The results showed that the GA method was able to produce distribution network optimization with a significant reduction in power losses while at the same time increasing the quality of the bus voltage.