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

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.