论文标题
快速可靠的瞬态模拟以及大规模气网网络的连续优化
Fast and Reliable Transient Simulation and Continuous Optimization of Large-Scale Gas Networks
论文作者
论文摘要
我们关注在错误控制环境中大规模气管系统的仿真和优化。气体流动动力学是通过从复杂性降低和随着时间变化的层次结构中获得足够精确的物理模型来局部近似的。由几个涡轮压缩机组成的压缩机站的可行工作区域包括汇总特征场的半近似值。提出了在先到先进的策略中进行离散的伴奏方法，并应用了具有主动集策略的顺序二次编程，以解决由提名验证引起的非线性约束优化问题。此处提出的方法加速了气体管理突然变化的近期预测，并允许对大型网络中的日内气体流动时间表进行经济控制。实际气管系统的案例研究显示了新方法的显着性能。
We are concerned with the simulation and optimization of large-scale gas pipeline systems in an error-controlled environment. The gas flow dynamics is locally approximated by sufficiently accurate physical models taken from a hierarchy of decreasing complexity and varying over time. Feasible work regions of compressor stations consisting of several turbo compressors are included by semiconvex approximations of aggregated characteristic fields. A discrete adjoint approach within a first-discretize-then-optimize strategy is proposed and a sequential quadratic programming with an active set strategy is applied to solve the nonlinear constrained optimization problems resulting from a validation of nominations. The method proposed here accelerates the computation of near-term forecasts of sudden changes in the gas management and allows for an economic control of intra-day gas flow schedules in large networks. Case studies for real gas pipeline systems show the remarkable performance of the new method.
