Control optimization for liquid pipelines under leak condition

Haoran Zhang, Wan Zhang, Ning Xu, Meng Yuan, Yongtu Liang
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引用次数: 1

Abstract

Apart from posing a threat to people's security, liquid pipeline leak will generate a large scale of environmental pollution, taking its toll for individuals and enterprises. An active control can minimize the impact. The hydraulic system of a pipeline is rather complex under leak condition, making it difficult to work out a plan for the optimal control scheme of pipeline's hydraulic devices. Researchers have proposed a series of methods to solve the optimal control scheme of a leak pipeline, few of which have taken complex transient process into consideration. The paper proposes a mixed-integer linear programming model to address the problem, and applies the branch and bound algorithm for model solution. The objective of the model is to find out an optimal control scheme to reduce the leakage volume to minimum. The transient process, hydraulic constraints, device constraints and flow rate constraints are considered in the model and the branch and bound algorithm is used to solve the model. Experiments on a real-world liquid pipeline have demonstrated the practicability and high reliability of the proposed model.
泄漏工况下液体管道控制优化
液体管道泄漏除了对人们的人身安全造成威胁外,还会造成大规模的环境污染,给个人和企业造成损失。主动控制可以将影响降到最低。泄漏工况下的管道液压系统较为复杂,为制定管道液压装置的最优控制方案带来了困难。研究人员提出了一系列求解泄漏管道最优控制方案的方法,但很少考虑复杂的瞬态过程。本文提出了一种混合整数线性规划模型来解决这一问题,并应用分支定界算法求解模型。该模型的目标是找出一种最优控制方案,使泄漏量最小化。模型考虑了瞬态过程约束、水力约束、设备约束和流量约束,采用分支定界算法对模型进行求解。在实际流体管道上的实验证明了该模型的实用性和高可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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