基于改进遗传算法的配电网联络线规划优化方法

Optimization Method of Dsitribution Network Tie-line Planning Based on Improved Genetic Algorithm

摘要: 由于城市发展、经济增长及人口迁移等因素导致配电网负荷预测不准，影响了联络线规划与需求契合，降低了运行效率，影响了电力供应稳定性和可靠性，因此提出基于改进遗传算法的配电网联络线规划优化方法。在配电网联络线规划中，构建了联络线规划模型，确保配电网的安全可靠运行。结合改进遗传算法，提升收敛速度，避免出现不可行解，输出优化方案。实验结果表明，提出的方法不仅提升了算法性能，还优化了联络线规划方案，改善了配电网的整体运行效率和经济性。

Abstract: Due to urban growth, economy, and migration lead to inaccurate load prediction in distribution networks, affecting connection line planning, efficiency, and power supply stability. Thus, an improved genetic algorithm is proposed for distribution network link optimization. It constructs a reliable connection line model and enhances convergence, avoiding infeasible solutions. Results show it improves algorithm performance, optimizes planning, and boosts network efficiency and economy.