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Bat algorithm for dam-reservoir operation

机译:大坝水库调度的蝙蝠算法

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Optimizing reservoir operation rule is considered as a complex engineering problem which requires an efficient algorithm to solve. During the past decade, several optimization algorithms have been applied to solve complex engineering problems, which water resource decision-makers can employ to optimize reservoir operation. This study investigates one of the new optimization algorithms, namely, Bat Algorithm (BA). The BA is incorporated with different rule curves, including first-, second-, and third-order rule curves. Two case studies, Aydoughmoush dam and Karoun 4 dam in Iran, are considered to evaluate the performance of the algorithm. The main purpose of the Aydoughmoush dam is to supply water for irrigation. Hence, the objective function for the optimization model is to minimize irrigation deficit. On the other hand, Karoun 4 dam is designed for hydropower generation. Three different evaluation indices, namely, reliability, resilience, and vulnerability were considered to examine the performance of the algorithm. Results showed that the bat algorithm with third-order rule curve converged to the minimum objective function for both case studies and achieved the highest values of reliability index and resiliency index and the lowest value of the vulnerability index. Hence, the bat algorithm with third-order rule curve can be considered as an appropriate optimization model for reservoir operation.
机译:优化油藏调度规则被认为是一个复杂的工程问题,需要有效的算法来解决。在过去的十年中,已经应用了几种优化算法来解决复杂的工程问题,水资源决策者可以使用这些算法来优化水库的运行。这项研究调查了一种新的优化算法,即蝙蝠算法(BA)。 BA与不同的规则曲线结合在一起,包括一阶,二阶和三阶规则曲线。考虑了两个案例研究,即伊朗的Aydoughmoush大坝和Karoun 4大坝,以评估该算法的性能。 Aydoughmoush大坝的主要目的是为灌溉提供水。因此,优化模型的目标函数是使灌溉亏缺最小化。另一方面,Karoun 4大坝是为水力发电而设计的。考虑了三种不同的评估指标,即可靠性,弹性和脆弱性,以检查算法的性能。结果表明,在两个案例研究中,具有三阶规则曲线的蝙蝠算法都收敛到最小目标函数,并且达到了可靠性指标和弹性指标的最大值,而脆弱性指标的最小值。因此,具有三阶规则曲线的蝙蝠算法可以被认为是适合油藏运行的优化模型。

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