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Multi-Objective Optimal Operation Model of Cascade Reservoirs and Its Application on Water and Sediment Regulation

机译:梯级水库多目标优化调度模型及其在水沙调度中的应用

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Recently suspended river, where formed both in tributary and in main stream of Ningxia-Inner Mongolia reaches in the Upper Yellow River, severely threatens people's lives and property safety downstream. In this paper, taking Ningxia-Inner Mongolia reaches for the example, water and sediment are regulated by cascade reservoirs upstream, which can form artificial controlled flood, to improve the relationship of water-sediment and slow down the speed of sedimentation rate. Then, multi-objective optimal operation model of cascade reservoirs is established with four objectives: ice and flood control, power generation, water supply, water and sediment regulation. Based on optimization technique of feasible search space, the non-dominated sorting genetic algorithm (NSGA-II) is improved and a new multi-objective algorithm, Feasible Search Space Optimization-Non-dominated Sorting Genetic Algorithm (FSSO-NSGA-II) is innovatively proposed in this paper. The best time of water and sediment regulation is discussed and the regulation index system and scenarios are constructed in three level years of 2010, 2020 and 2030. After that regulation efforts and contribution to sediment transportation are quantified under three scenarios. Compared with history data in 2010, the accuracy and superiority of multi-objective model and FSSO-NSGA-II are verified. Even more, four-dimensional vector coordinate systems are proposed innovatively to represent each objective and sensitivity of three scenarios are analyzed to clarify the impact on regulation objectives by regulation indexes. At last, relationships between four objectives are revealed. The research findings provide optimal solutions of multi-objectives optimal operation by FSSO-NSGA-II, which have an important theoretical significance to enrich the methods of water and sediment optimal operation by cascade reservoirs, guiding significance to water and sediment regulation implementation and construct water and sediment control system in the whole Yellow River basin.
机译:在宁夏支流和内蒙古干流中均形成的新近悬河到达黄河上游,严重威胁下游人民的生命和财产安全。本文以宁夏-内蒙古河段为例,上游利用梯级水库调节水沙,形成人为控制的洪水,改善水沙关系,减缓沉积速度。然后,建立了具有四个目标的梯级水库多目标最优运行模型:防洪治冰,发电,供水,调水调沙。基于可行搜索空间的优化技术,对非支配排序遗传算法(NSGA-II)进行了改进,提出了一种新的多目标算法:可行搜索空间优化-非支配排序遗传算法(FSSO-NSGA-II)。本文创新提出。讨论了水沙调度的最佳时机,并在2010年,2020年和2030年这三个层次上建立了调度指标体系和情景。此后,在三种情景下对调控工作和对泥沙输送的贡献进行了量化。与2010年的历史数据相比,验证了多目标模型和FSSO-NSGA-II的准确性和优越性。此外,还创新性地提出了代表各个目标的三维矢量坐标系,并分析了三种情况的敏感性,以阐明管制指标对管制目标的影响。最后,揭示了四个目标之间的关系。研究成果为FSSO-NSGA-II多目标优化调度提供了最优的解决方案,对于丰富梯级水库调水调沙优化方法,指导调水调沙实施和建设水具有重要的理论意义。整个黄河流域的泥沙控制系统。

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