引汉济渭工程黄金峡水库多目标调度模拟研究
2021-08-11肖瑜罗军刚燕军乐
肖瑜 罗军刚 燕军乐



摘 要:引汉济渭工程是为缓解陕西关中地区缺水问题所规划的调水工程,黄金峡水库作为主要水源,有必要对黄金峡水库运行调度进行模拟研究。在引汉济渭工程年调水10亿m3和15亿m3两种情况下,以允许调水量为前提,选择枯水年的来水资料,通过建立调水量和发电量最大两个目标函数,利用NSGA-II算法求解多目标优化问题,获得了黄金峡水库在枯水年的多目标均衡解,揭示了调水和发电目标之间是矛盾的,分析了枯水年黄金峡水库的综合效益。
关键词:多目标优化;水库调度;调水;发电;综合效益;引汉济渭工程
中图分类号:TV213.9 文献标志码:A
doi:10.3969/j.issn.1000-1379.2021.07.027
引用格式:肖瑜,罗军刚,燕军乐.引汉济渭工程黄金峡水库多目标调度模拟研究[J].人民黄河,2021,43(7):141-144.
Abstract: The Hanjiang-to-Weihe River Water Diversion Project is a water diversion project planned to alleviate the water shortage in Guanzhong area of Shaanxi Province. As the main water source, it is necessary to simulate the operation of the Huangjinxia Reservoir. Under the circumstances of 1 billion m3 and 1.5 billion m3 in water diversion, on the premise of allowable water diversion, the data of water inflow in dry years were selected, by establishing two objective functions of water diversion and power generation and using optimization algorithm NSGA-II to solve the two objective optimization issues and the multi-objective equilibrium solution of the Huangjinxia Reservoir in the dry year was obtained. It also revealed the transformation law between water diversion and power generation objectives and verified the contradiction between water diversion and power generation objectives and the relationship between them. Meanwhile it analyzed the comprehensive benefits of the Huangjinxia Reservoir. It can provide reference for actual reservoir operation and also provide decision support for the study of comprehensive benefit of the Hanjiang-to-Weihe River Water Diversion Project.
Key words: multi-objective optimization; reservoir operation; water diversion; power; comprehensive benefits; Hanjiang-to-Weihe River Water Diversion Project
引汉济渭工程是陕西省目前规模最大、影响最为深远的战略性、基础性和全局性水资源配置工程。引汉济渭工程是为缓解陕西关中地区缺水问题所规划的调水工程,它将汉江丰沛的水资源通过黄金峡和三河口水库群、泵站群调配到水资源短缺的关中地区,以缓解关中地区的水资源短缺问题,促进社会经济可持续发展。
畅建霞等[1]研究并论证了引汉济渭工程对受水区水资源短缺改善、城市用水的保障、渭河河道生态环境改善等具有明显作用。杨晓茹等[2]研究了2020年、2030年引汉济渭工程调水量的优化配置方案,采用了系统分析理论建立受水区的大系统分解協调模型,以供水区缺水量最小、综合利用效益最大作为模型最优解。……
