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Optimal operation of pipeline systems using Genetic Algorithm

机译:基于遗传算法的管道系统优化运行

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A Genetic Algorithm (GA) is used in this paper for the optimal operation, result in better solution than the existing one, of the pipeline systems under transient conditions caused by valve closure. Simulation of pipeline system is carried out here by the Implicit Method of Characteristics, a method recently developed and introduced by the authors. This method uses an element-wise definition for all the devices that may be used in a pipeline system. The advantages of this method lie in its capability of considering any arbitrary combination of devices in a pipeline system. The transient simulator is linked to a GA optimizer, which is then used to optimize the operation of a pipeline system under valve closure. One example problem of valve closure is used to test the performance of the proposed model. In this example, the GA is used to obtain the minimum valve closure time such that the pipeline system with predefined characteristics can withstand the induced pressure surge. Two pre-specified closure rules of linear and sinusoidal type were used and their corresponding results are presented and compared. The results clearly emphasize on the applicability of the proposed optimization model to control the water hammer effects by properly managing the valve closure in a pipeline system.
机译:本文采用遗传算法(GA)来优化阀门操作,从而在阀门关闭引起的瞬态情况下,比现有的管道系统获得更好的解决方案。作者在这里使用隐式特性法对管道系统进行了仿真,这是作者最近开发并引入的一种方法。此方法对可能在管道系统中使用的所有设备使用按元素定义。该方法的优点在于它能够考虑管道系统中设备的任意组合。暂态模拟器链接到GA优化器,然后将其用于优化阀门关闭状态下管道系统的运行。阀门关闭的一个示例问题用于测试所提出模型的性能。在此示例中,GA用于获得最短的阀门关闭时间,以使具有预定义特性的管道系统可以承受引起的压力波动。使用了两个预先指定的线性和正弦类型的闭合规则,并给出了它们的对应结果并进行了比较。结果清楚地强调了所提出的优化模型通过适当管理管道系统中的阀门关闭来控制水锤效应的适用性。

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