Modeling of Multi-Reservoir Systems Operation in the Chao Phraya River Basin

Intira Thechamani, S. Visessri, P. Jarumaneeroj
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Abstract

Reservoir is one of water management facilities. The role of the reservoir has become prominent in recent years due to increased demand for water, intensified pressure on limited water resources, more frequent extreme weather, and heightened degree of climate change. The management of multiple and multi-purpose reservoir systems is complex as it involves the issues of dimensionalities, nonlinearities and conflicts between different objectives. Optimization and simulation models have been used as a tool for providing quantitative information regarding optimal reservoir operation. This research demonstrates the use of optimization techniques to improve water allocation for multiple and multi-purpose reservoir systems. The optimal reservoir releases were determined by linear programing using IBM ILOG CPLEX Optimization Studio software. The objective function was developed to minimize water deficit in dry years under the constraints of reservoir storage, reservoir continuity, and water balance at each node of the river network. Two modeling approaches including time horizon and non-time horizon were applied to a case study of the Lower Chao Phraya River basin which is characterized by two reservoirs and a number of control structures along the channels. When compared to non- time horizon, the time horizon gave higher accuracy of the results. This suggested that using time horizon framework could provide beneficial support for better reservoir management and operational efficiency.
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湄南河流域多水库系统运行模拟
水库是水管理设施之一。近年来,由于对水的需求增加,对有限水资源的压力加剧,极端天气更加频繁,气候变化程度加剧,水库的作用变得突出。多用途水库系统的管理是复杂的,因为它涉及到多维性、非线性和不同目标之间的冲突问题。优化和模拟模型已被用作提供最佳油藏操作定量信息的工具。本研究展示了利用优化技术来改善多用途水库系统的水资源分配。利用IBM ILOG CPLEX Optimization Studio软件进行线性规划,确定最佳油藏释放量。在水库蓄水量、水库连续性和河网各节点水量平衡的约束下,建立了旱季最小亏水目标函数。以湄南河下游为例,采用了时间视界和非时间视界两种建模方法。湄南河下游具有两个水库和多个河道控制构造。与非时间视界相比,时间视界给出了更高的精度。这表明使用时间范围框架可以为更好的油藏管理和作业效率提供有益的支持。
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