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Optimization of Reservoir Operation Considering both Hydropower Generation and Ecological Flow Requirement

机译:考虑水力发生生成和生态流量要求的储层操作优化

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There is a growing awareness to operate reservoirs with the consideration of downstream ecological needs. Nevertheless human benefits such as hydropower generation could be suffered a loss due to the additional competitor on river flow. This conflict normally presents a dilemma to water manager for the decision-making on operation policy, particular in the developing countries with power supply shortage. In order to balance the different interests, we took two cascaded reservoirs on China Yalongjiang River as a case and presented a trade-off method to identify the reservoir operational policies considering both hydropower generation and ecological flow requirements. Firstly, an optimization model of reservoir operation was advanced by using adaptive Genetic Algorithm. The objective function of the model was the annual hydropower generation. Instead of minimal ecological flow, the model took into account water flow representing the variational requirement of the local fish as a dynamic constraint. The constraint was allowed to be violated representing satisfaction degrees of the ecological flow requirement (SDEFR). The relationship between the SDEFR and the corresponding hydropower generation was then established. Based on this relation, the ecological-economical optimal reservoir operation was finally defined.
机译:通过考虑下游生态需求,运营水库越来越令人越来越意识到。然而,由于河流上的额外竞争对手,可能会遭受损失的人性益处。这种冲突通常对水经理的困境呈对运营政策的决策,特别是在发展中国家的供电短缺。为了平衡不同的利益,我们在中国亚隆江河上采取了两个级联水库,作为案例,提出了考虑水力发电和生态流量要求的储层运营政策的权衡方法。首先,通过使用自适应遗传算法先进的储层操作的优化模型。该模型的目标函数是年度水电站。该模型代替最小的生态流量,而是考虑到局部鱼作为动态约束的变分的水流。允许约束违反了生态流量要求的满意度(SDEFR)。然后建立了SDEFR与相应水电站的关系。基于这一关系,最终定义了生态经济的最佳储层操作。

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