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Real-time optimisation of the Hoa Bind reservoir, Vietnam

机译：越南Hoa Bind水库的实时优化

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摘要

Multi-purpose reservoirs often have to be managed according to conflicting objectives, which requires efficient tools for trading-off the objectives. This paper proposes a multi-objective simulation-optimisation approach that couples off-line rule curve optimisation with on-line real-time optimisation. First, the simulation-optimisation framework is applied for optimising reservoir operating rules. Secondly, real-time and forecast information is used for on-line optimisation that focuses on short-term goals, such as flood control or hydropower generation, without compromising the deviation of the long-term objectives from the optimised rule curves. The method is illustrated for optimisation of the Hoa Binh reservoir in Vietnam. The approach is proven efficient to trade-off conflicting objectives. Selected by a Pareto optimisation method, the preferred optimum is able to mitigate the floods in the downstream part of the Red River, and at the same time to increase hydropower generation and to save water for the dry season. The real-time optimisation procedure further improves the efficiency of the reservoir operation and enhances the flexibility for the decision-making. Finally, the quality of the forecast is addressed. The results illustrate the importance of a sufficient forecast lead time to start pre-releasing water in flood situations.
机译：多用途水库通常必须根据相互矛盾的目标进行管理，这需要权衡目标的有效工具。本文提出了一种多目标仿真优化方法，该方法将离线规则曲线优化与在线实时优化相结合。首先，将模拟优化框架应用于优化油藏运行规则。其次，实时和预测信息用于在线优化，该优化专注于短期目标（例如防洪或水力发电），而不会损害长期目标与优化规则曲线之间的偏差。说明了优化越南Hoa Binh水库的方法。实践证明，该方法可以有效地权衡冲突的目标。通过帕累托（Pareto）优化方法选择的首选最优方案能够减轻红河下游部分的洪水，并同时增加水力发电量并为干旱季节节水。实时优化程序进一步提高了油藏运营效率，并增强了决策的灵活性。最后，解决了预测的质量。结果表明，要有足够的预测提前期以在洪灾情况下开始预释放水的重要性。

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