Resource shortages are having an increasingly severe impact as global trends like rapid population growth, urbanization, economic development, and climate change unfold. Moreover, rising living standards across many regions are also affecting water and energy resources. This entails an urgent requirement to improve water resources management. An important improvement is to transfer water between the different uses of the reservoir system. A compromise between the needs of hydropower generation and the water supply can be negotiated for the reservoir system to reduce the severity of water shortages. The Be River basin in Vietnam was selected as a case study to investigate. The combination of the generalized water allocation simulation model (GWASIM) and the bounded optimization by quadratic approximation (BOBYQA) algorithm was applied to optimize hydropower generation in various water shortage scenarios. The results present optimized hydropower generation policies for cascade reservoirs that would significantly improve the present operating policy in terms of both the water supply and hydropower generation. Moreover, multiple scenarios will provide flexibility to the reservoir operator by giving the relationship between water and energy. Given water supply conditions, the operator will be able to choose among several optimal solutions to ensure greater water resource efficiency in the Be River basin.

中文翻译：

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优化越南多用途多水库系统管理策略

随着人口快速增长、城市化、经济发展和气候变化等全球趋势的显现，资源短缺的影响越来越严重。此外，许多地区生活水平的提高也影响了水和能源资源。这迫切需要改进水资源管理。一个重要的改进是在水库系统的不同用途之间转移水。水库系统可以协商在水力发电需求和供水需求之间进行折衷，以降低缺水的严重程度。选择越南的 Be 河流域作为案例研究进行调查。应用广义配水模拟模型（GWASIM）和二次逼近有界优化（BOBYQA）算法相结合，优化各种缺水情景下的水力发电。结果提出了梯级水库优化的水力发电政策，这将显着改善现有的供水和水力发电运营政策。此外，通过给出水和能源之间的关系，多种场景将为水库运营商提供灵活性。根据供水条件，运营商将能够从多个最佳解决方案中进行选择，以确保 Be 河流域的水资源效率更高。结果提出了梯级水库优化的水力发电政策，这将显着改善现有的供水和水力发电运营政策。此外，通过给出水和能源之间的关系，多种场景将为水库运营商提供灵活性。根据供水条件，运营商将能够从多个最佳解决方案中进行选择，以确保 Be 河流域的水资源效率更高。结果提出了梯级水库的优化水力发电政策，这将显着改善现有的供水和水力发电运营政策。此外，通过给出水和能源之间的关系，多种场景将为水库运营商提供灵活性。根据供水条件，运营商将能够从多个最佳解决方案中进行选择，以确保 Be 河流域的水资源效率更高。