| 水库群水沙调控的单-多目标调度模型及其应用 |
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| 引用本文： | 白涛,阚艳彬,畅建霞,袁梦.水库群水沙调控的单-多目标调度模型及其应用[J].水科学进展,2016,27(1):116-127. |
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| 作者姓名： | 白涛 阚艳彬 畅建霞 袁梦 |
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| 作者单位： | 西安理工大学西北旱区生态水利工程国家重点实验室培育基地, 陕西 西安 710048 |
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| 基金项目： | 水利部公益性行业科研专项经费资助项目(201501058);国家自然科学基金资助项目(51409210) |
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| 摘 要： | 为缓解内蒙古河段"二级悬河"形势,以黄河上游沙漠宽谷河段为研究对象,以龙羊峡水库、刘家峡水库为调控主体,开展黄河上游水沙调控研究。建立了输沙量、发电量最大的单目标模型以及多目标模型;分别采用自迭代模拟算法、逐次逼近动态规划算法(DPSA)和改进的非支配排序遗传优化算法(NSGA-Ⅱ)求解模型;设置了初始、常规、优化和联合优化4种方案。通过实例计算,联合优化调度方案的区间总冲刷量达到了0.38亿t,梯级发电量148.22亿kW·h。该方案以较小的电量损失换来了输沙量的大幅度增加,水沙调控效果显著,推荐为最优方案。研究成果量化了水沙调控效果和各目标间的转化规律,为开展黄河上游水沙调控提供了决策依据,具有重要的应用价值和实际指导意义。
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| 关 键 词： | 水沙调控 多目标模型 改进的NSGA-II 联合优化运行 |
| 收稿时间： | 2015-07-20 |
Single-multi-objective operation models and its application on the regulation of water and sediment by cascade reservoirs |
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| BAI Tao,KAN Yanbin,CHANG Jianxia,YUAN Meng.Single-multi-objective operation models and its application on the regulation of water and sediment by cascade reservoirs[J].Advances in Water Science,2016,27(1):116-127. |
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| Authors: | BAI Tao KAN Yanbin CHANG Jianxia YUAN Meng |
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| Affiliation: | State Key Lab Cultivation Base of Northwest Arid Ecology and Hydraulic Engineering, Xi'an University of Technology, Xi'an 710048, China |
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| Abstract: | The regulation of water and sediment in the Upper Yellow River is studied in this paper. To relieve the secondary suspended river that has formed in Inner Mongolia, desert valley reaches in the Upper Yellow River were studied and Longyangxia and Liujiaxia cascade reservoirs were chosen as subjects. Single objective models of sediment discharge maximization and generated energy maximization and a multi objective model were established, and solved by self-iteration simulation algorithm, successive approximation dynamic programming(DPSA), and an improved non-dominated sorting genetic algorithm(NSGA), respectively. Then initial schemes, routine schemes, optimization schemes, and joint optimization operation schemes were set. The results demonstrated that the total scouring sediment of joint optimization schemes was 38 million tons, and power generation of the cascade was 14.8 billion kW·h, with a small loss of power generation in exchange for a substantial increases in sediment. This indicated the great effort required for sediment regulation and the joint operation schemes was recommended as the best option. The results quantified the water and sediment regulation effects and transformation law between objectives are shown. Moreover, the achievements provide a basis for decisions regarding the regulation of water and sediment in the Upper Yellow River. They may have important applications and practical significance in this type of regulation. |
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| Keywords: | water and sediment regulation multi-objective model improved non-dominated sorting genetic algorithm joint optimal operation |
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