Use of mathematical optimization to construct optimal reservoir operating rules—A case study of the Barna reservoir in Narmada Basin, India

Nesa Ilich
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Abstract

This paper explains the benefits of using mathematical optimization to construct high performance reservoir operating rules and the related water rationing (deficit sharing) policies. The principal idea of the proposed approach is to generate perfect solutions obtained from an LP-based optimization model with the assumed foreknowledge of inflows represented with historical natural flows that are matched in the model with the current or projected levels of water demands. Water demands may include a mix of on-stream (e.g., e-flow targets or hydro power) and off-stream demands (irrigation or industry). The paper demonstrates the benefits of the proposed methodology by developing and testing short term operating rules on the Barna reservoir in Narmada River Basin in India. It shows that it is possible to achieve simulated results that follow the proposed rules and differ by only 2.5% in terms of the mean annual deficits from the best possible performance obtained using mathematical optimization with full foreknowledge of inflows.
应用数学优化构建油藏最优运行规则——以印度Narmada盆地Barna油藏为例
本文阐述了利用数学优化构建高效水库运行规则和相应的配水(亏缺分担)政策的好处。所提出的方法的主要思想是从基于lp的优化模型中生成完美的解决方案,该模型假定流入的预测是用历史自然流量表示的,该模型与当前或预计的水需求水平相匹配。水需求可能包括流内需求(例如,电子流目标或水力发电)和流外需求(灌溉或工业)。本文通过在印度纳尔马达河流域的巴纳水库制定和测试短期操作规则来证明所提出方法的好处。它表明,有可能实现遵循拟议规则的模拟结果,并且在使用具有充分预测流入的数学优化获得的最佳性能方面,平均年赤字仅相差2.5%。
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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