To address the issues of distribution network overloading and wind/solar power curtailment caused by high-penetration renewable energy integration， this paper proposes a bi-level siting and sizing planning method for integrated production-storage-utilization hydrogen energy systems in distribution networks， considering power-hydrogen coupling characteristics. First， an improved genetic algorithm is used to partition an improved IEEE 33-bus system， and a power-hydrogen coupling model comprising electrolyzers， hydrogen storage tanks， and fuel cells is constructed. Next， an upper-level configuration model is established with the objectives of minimizing life-cycle cost and optimizing power quality. Finally， using typical scenarios generated by a lower-layer dispatch model as the basis for capacity configuration， the Gurobi solver is invoked for optimization solving， and an improved chaotic particle swarm optimization （PSO） algorithm is employed to determine the optimal solution. Simulation results demonstrate that the proposed method effectively reduces the overall cost of the integrated system， alleviates distribution network overloading and renewable energy curtailment through the rational layout of key node equipment， and enhances operational efficiency and power quality.