Optimal location and capacity of DG systems in distribution network using genetic algorithm

Abstract

The assimilation of distributed generators (DG) does play a critical role in modern distribution networks. Due to increasing demand for electrical energy, the DG sources are becoming more significant in distribution systems. The position and size of DG units will have an impact on losses and voltage profile of the distribution system. This work proposes implementing the Genetic Algorithm approach to determine the optimal site as well as the size of DG units in the distribution network to mitigate actual power losses and enhance the voltage profile. The optimal position and optimal capacity of DG unit is computed by GA algorithm and by using three indices namely PLRI, VDI and MORI we determine three solutions one for exclusively reduction in system loss, the second one for improvement of voltage profile and third one for combined benefit in minimization of losses and improved performance of the bus voltages, the proposed method is applied to the IEEE-33 bus test system. The programming is executed in the software MATLAB 2018α.