Abstract: With the continuous expansion of the urban gas pipeline network in scale, how to assign appropriate operating parameters to the control station, to achieve the optimal scheduling targeted at economy and safety, will be an urgent problem to be solved. Herein, the calculation method of steady-state optimization of the urban gas pipeline network were discussed, an optimization algorithm framework for complex pipeline networks was designed, and on this basis, a meta-problem was proposed. Moreover, the optimization objectives and non-linear constraints of the meta-problem were described. By adopting a software-based technical solution for the nonlinear optimization with a large number of variables (Pyhon+Pyomo+IPOPT), the optimization issue in the meta-problem was solved with the quadratic sequence optimization algorithm. The algorithm of practical solution was tested by taking a gas pipeline network as an example. The results show that the algorithm has better time complexity and good performance, and compared with the solution interacting with the existing simulation software, it is also faster and more stable in performance.