This study aims to construct a digital distribution network optimization and scheduling system based on IGA (Improved Genetic Algorithm) to improve the efficiency and reliability of the power system. In order to achieve our research objectives, we have designed an IGA based optimization scheduling system that can handle complex problems such as load balancing, minimizing power losses, and maintaining voltage and current stability in digital distribution networks. Our research will validate the performance of the algorithm through experimental data and scenario settings, and analyze the experimental results to evaluate the optimization effect of the system. The research results show that the power loss of using IGA algorithm to optimize digital distribution network is the lowest, maintaining an average of around 15KW. The power loss of GA (Genetic Algorithm) is around 24KW, and the power loss of SA (Simulated Annealing) is around 27KW. It can be seen that SA loss is the largest, and this algorithm is not suitable for optimization of distribution network. The algorithm in this paper is more suitable for optimization of distribution network. In summary, this study provides a comprehensive solution for the optimization and scheduling of digital distribution networks, emphasizing the potential application of IGA.