首页> 外文期刊>Journal of Pipeline Systems Engineering and Practice >Modeling, Simulation, and Optimization of a High-Pressure Cross-Country Natural Gas Pipeline: Application of an Ant Colony Optimization Technique
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Modeling, Simulation, and Optimization of a High-Pressure Cross-Country Natural Gas Pipeline: Application of an Ant Colony Optimization Technique

机译:高压越野天然气管道的建模,仿真和优化:蚁群优化技术的应用

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摘要

The process of natural gas transportation through cross-country pipelines, with intermittent repressurization with the help of compressors that use part of the same gas for energy source, is a very interesting optimization problem that has attracted researchers. In the present work, an 18-node network connecting a single source to a single delivery point has been selected for analysis. A steady-state model, incorporating gas flow dynamics, compressor characteristics, and mass balance equations, has been developed. Ant colony optimization, a comparatively new evolutionary technique in pipeline optimization, has been used for minimizing fuel consumption for a fixed throughput. A comparison with a similar optimization tool, a solver of a general algebraic modeling system that extracts the principle of generalized reduced gradient algorithm, indicates an improved solution in terms of fuel consumption minimization.
机译:天然气通过越野管道运输的过程,借助使用部分相同气体作为能源的压缩机的间歇性加压,是一个非常有趣的优化问题,吸引了研究人员。在当前的工作中,已选择将单个源连接到单个交付点的18个节点的网络进行分析。一个稳态模型,结合了气流动力学,压缩机特性和质量平衡方程式。蚁群优化是管道优化中的一种相对较新的进化技术,已被用于使固定产量的油耗最小化。与类似的优化工具(通用代数建模系统的求解器,提取了广义归一化梯度算法的原理)的比较结果表明,该方法在燃料消耗最小化方面具有改进的解决方案。

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