Abstract
An ever-increasing load demand exerts substantial pressure on the existing power distribution network, leading to voltage drops and inefficiencies. The power sector faces unprecedented challenges such as supply-demand imbalances, escalating costs, and environmental concerns, necessitating the adoption of advanced technologies. This article emphasizes the role of the smart grid, particularly the integration of Distributed Generation (DG) at the distribution level, to address these issues. Proper placement and sizing of DG can significantly minimize power losses and enhance voltage profiles within the distribution network. This study presents a Genetic Algorithm (GA)-based optimization method to determine the optimal size and location of DG units in a radial distribution system connected to a substation with wind energy generation. The methodology employs a voltage-dependent load model and evaluates multiple GA operator combinations while maintaining constant parameters for population, crossover rate, and generation. The proposed approach is applied in two scenarios: first, by optimizing the placement of existing DG, and second, by determining the ideal size and location simultaneously. The results demonstrate a substantial reduction in power loss – 56.49% when optimizing the placement of existing DG and 91.47% when optimizing both placement and size. This highlights the potential of GA to significantly improve voltage stability and reduce power losses in modern power distribution systems.