To address the challenges of high randomness on both the supply and demand sides, difficulties in integrating renewable resources, and low flexibility in industrial parks, a study on the optimal configuration of a steam heating system coupled with green electricity in industrial parks was conducted, considering time-of-use steam pricing. The aim was to enhance system economic efficiency and green electricity utilization level. A system demand response management strategy was developed based on the modeling of the steam heating system in a green electricity-coupled industrial park. By introducing time-of-use steam pricing, users were encouraged to adjust their steam usage behavior, thereby regulating user-side loads and improving system flexibility. Based on the optimized time-of-use pricing results, a bi-level optimal configuration model considering both planning and operation stages was established for the steam heating system in industrial parks. A case study based on a power plant in Zhejiang Province was conducted for validation. The comparative results showed that the proposed optimization method reduced the peak-valley load difference by 58.32%. Additionally, the optimized configuration scheme decreased the total system cost by 98200, 253700, and 182500 yuan under different scenarios with combined heat and power unit output limits of 70%, 60%, and 50%. This time-of-use steam pricing-based optimization approach provided valuable guidance for the low-carbon transition of steam heating systems in industrial parks.