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基于套期保值原则的低水地区大坝水库多目标模拟优化运行

Multi objective simulation-optimization operation of dam reservoir in low water regions based on hedging principles.

作者信息

Mansouri Sedighe, Fathian Hossein, Nikbakht Shahbazi Alireza, Asadi Lour Mehdi, Asareh Ali

机构信息

Department of Water Resources Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.

Department of Irrigation and Drainage, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.

出版信息

Environ Sci Pollut Res Int. 2023 Mar;30(14):41581-41590. doi: 10.1007/s11356-022-25089-9. Epub 2023 Jan 12.

Abstract

The high level of reliability of water resources is always an advantage for consumers, but in arid and semi-arid regions where the inflow to the reservoir is faced with severe fluctuations, it makes sense to decrease the percentage of reliability of the system and allocate less water to consumption zones to prevent critical conditions such as emptying of the reservoir. In this research, the employed operation model is based on the simulation-optimization combination by considering the objectives of minimizing the violation of the allowed capacity of the reservoir and maximizing the percentage of supplying the demands. The optimal hedging variables are specified by linking the WEAP (Water Evaluation and Planning System) to the MOPSO multi-objective optimization algorithm. According to the available data, the duration of the simulation and optimization period in the model is 360 months. After 1000 iterations, the optimal reservoir volume values are obtained at the hedging level and hedging coefficient in different months. Finally, the model results are compared with the results obtained from the standard operation policy (SOP). The results show that the proposed model is able to manage the allocation to needs in the dry months and prevent the reservoir from emptying. Also, by storing a part of the flow in the reservoir in watery months and consuming it in low water months, it increases the supply of needs by 20 to 35% and reduces the failure rate in dry months.

摘要

水资源的高度可靠性对消费者来说始终是一项优势,但在水库入库流量面临剧烈波动的干旱和半干旱地区,降低系统的可靠性百分比并向消费区分配较少的水量以防止出现水库干涸等临界状况是有意义的。在本研究中,所采用的运行模型基于模拟 - 优化组合,考虑了使水库允许容量的违规情况最小化以及使需求供应百分比最大化的目标。通过将水资源评价与规划系统(WEAP)与多目标粒子群优化(MOPSO)算法相连接来确定最优套期保值变量。根据可用数据,模型中的模拟和优化周期时长为360个月。经过1000次迭代后,在不同月份的套期保值水平和套期保值系数下获得了最优水库库容值。最后,将模型结果与从标准运行策略(SOP)获得的结果进行比较。结果表明,所提出的模型能够在干旱月份管理对需求的分配并防止水库干涸。此外,通过在丰水期将部分水流储存在水库中并在枯水期使用,它将需求供应量提高了20%至35%,并降低了干旱月份的故障率。

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