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Towards a space mapping approach to dynamic compressor optimization of gas networks

机译:寻求空间映射方法来动态优化燃气网络的压缩机

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The goal of this paper is to present an efficient approach for dynamic compressor optimization in gas networks based on a space mapping approach. For the fine space a non-linear isothermal gas flow model is employed, whereas for the coarse-space model an algebraic model is applied. To solve an optimization problem with the nonlinear model is expensive. Nevertheless we desire to bring as much nonlinear effects into the optimization process as possible. The mathematical formulation and algorithmic aspects of a space mapping technique are developed. A framework in which such can be achieved for compressible isothermal gas flow is presented. Computational results and comparison between different approaches are presented. The results demonstrate that such a multi-level approach provides more accurate results efficiently.
机译:本文的目的是提出一种基于空间映射方法的天然气网络动态压缩机优化的有效方法。对于细空间,采用非线性等温气流模型,而对于粗空间模型,采用代数模型。用非线性模型解决优化问题是昂贵的。尽管如此,我们希望将尽可能多的非线性效应带入优化过程。开发了空间映射技术的数学公式和算法方面。提出了在其中可实现可压缩等温气流的框架。给出了计算结果和不同方法之间的比较。结果表明,这种多级方法可以有效地提供更准确的结果。

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