Application of Intelligent Optimization Algorithms in the Distribution Network Planning and Evaluation Models

In order to reasonably plan distribution network evaluation strategies and improve the efficiency and accuracy of power system planning, this study aims to explore the application of intelligent optimization algorithms in distribution network planning and evaluation. It includes the principle, method and model construction of intelligent optimization algorithm, and designs a distribution network planning evaluation model using Ant colony optimization algorithms combined with GIS (Geographic Information System). This article applies its example to the distribution network planning of a certain area, and the results show that compared with traditional algorithms, the intelligent optimization algorithm has a voltage value of 230.2V at the highest and 220.2V at the lowest; The highest load value is 2.75 Megawatt, and the lowest is 1.19 Megawatt; The longest running time is 8913ms, surpassing traditional algorithms in all aspects. This algorithm improves the voltage stability and load balance of the distribution network, and reduces operating time. This study has certain promotion and application value for the research and practical application of power system planning, which can improve the efficiency and accuracy of power system planning and provide scientific basis for the reliability and effectiveness of power supply.