水科学进展2016，Vol.27Issue(1)：116-127,12.DOI:10.14042/j.cnki.32.1309.2016.01.013
水库群水沙调控的单-多目标调度模型及其应用
Single-multi-objective operation models and its application on the regulation of water and sediment by cascade reservoirs
摘要
Abstract
The regulation of water and sediment in the Upper Yellow River is studied in this paper. To relieve the sec-ondary suspended river that has formed in Inner Mongolia, desert valley reaches in the Upper Yellow River were stud-ied and Longyangxia and Liujiaxia cascade reservoirs were chosen as subjects. Single objective models of sediment dis-charge 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 re-quired for sediment regulation and the joint operation schemes was recommended as the best option. The results quan-tified the water and sediment regulation effects and transformation law between objectives are shown. Moreover, the a-chievements 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.关键词
水沙调控/多目标模型/改进的NSGA-Ⅱ/联合优化运行Key words
water and sediment regulation/multi-objective model/improved non-dominated sorting genetic algo-rithm/joint optimal operation分类
建筑与水利引用本文复制引用
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):116-127,12.基金项目
水利部公益性行业科研专项经费资助项目(201501058) （201501058）
国家自然科学基金资助项目(51409210) The study is financially supported by the National Non-Profit Research Program of China (No. 201501058) and the National Nat-ural Science Foundation of China (No. 51409210) . （51409210）
