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Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin

机译:黄河上游梯级水库多目标优化调度协同收益。

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The Yellow River, known as China's "mother river", originates from the Qinghai-Tibet Plateau and flows through nine provinces with a basin area of 0.75 million km(2) and an annual runoff of 53.5 billion m(3). In the last decades, a series of reservoirs have been constructed and operated along the Upper Yellow River for hydropower generation, flood and ice control, and water resources management. However, these reservoirs are managed by different institutions, and the gains owing to the joint operation of reservoirs are neither clear nor recognized, which prohibits the applicability of reservoir joint operation. To inspire the incentive of joint operation, the contribution of reservoirs to joint operation needs to be quantified. This study investigates the synergistic gains from the optimal joint operation of two pivotal reservoirs (i.e., Longyangxia and Liujiaxia) along the Upper Yellow River. Synergistic gains of optimal joint operation are analyzed based on three scenarios: (1) neither reservoir participates in flow regulation; (2) one reservoir (i.e., Liujiaxia) participates in flow regulation; and (3) both reservoirs participate in flow regulation. We develop a multi-objective optimal operation model of cascade reservoirs by implementing the Progressive Optimality Algorithm-Dynamic Programming Successive Approximation (POA-DPSA) method for estimating the gains of reservoirs based on long series data (1987-2010). The results demonstrate that the optimal joint operation of both reservoirs can increase the amount of hydropower generation to 1.307 billion kW h/year (about 594 million USD) and increase the amount of water supply to 36.57 billion m(3)/year (about 15% improvement). Furthermore both pivotal reservoirs play an extremely essential role to ensure the safety of downstream regions for ice and flood management, and to significantly increase the minimum flow in the Upper Yellow River during dry periods. Therefore, the synergistic gains of both reservoirs can be suitably quantified under the three scenarios. The proposed optimization methodology provides an effective way to analyze synergistic gains, and the analyzed results provide an important reference guideline for sustainable allocation of water resources in the Yellow River basin. (C) 2015 Elsevier B.V. All rights reserved.
机译:黄河被称为中国的“母亲河”,发源于青藏高原,流经九个省,流域面积75万公里(2),年径流量535亿立方米(3)。在过去的几十年中,沿黄河上游建造和运营了一系列水库,用于水力发电,防洪和防冰以及水资源管理。但是,这些水库是由不同的机构管理的,由于水库联合运行所产生的收益既不明确也不被承认,这限制了水库联合运行的适用性。为了激发联合作战的动力,需要量化水库对联合作战的贡献。这项研究调查了黄河上游两个枢纽水库(龙羊峡和刘家峡)的最佳联合作业所产生的协同增效作用。基于以下三种情况分析了最佳联合作业的协同增效:(1)两个油藏都不参与流量调节; (2)一个水库(即刘家峡)参与流量调节; (3)两个油藏都参与流量调节。通过实施基于长序列数据(1987-2010)的渐进最优算法-动态规划逐次逼近(POA-DPSA)方法来估算梯级水库的收益,我们建立了一个多目标梯级水库最优运行模型。结果表明,两个水库的最佳联合运行可以使水力发电量增加到每年13.07亿千瓦时(约5.94亿美元),供水量增加到365.7亿千瓦时(3)/年(约15)改善百分比)。此外,两个枢纽水库在确保下游地区进行冰和洪水管理的安全以及在干旱时期大大增加黄河上游的最小流量方面都发挥着极其重要的作用。因此,在这三种情况下,可以适当地量化两个储层的协同增效。所提出的优化方法为分析协同增效提供了有效途径,分析结果为黄河流域水资源的可持续配置提供了重要的参考指南。 (C)2015 Elsevier B.V.保留所有权利。

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