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机构地区:[1]武汉大学水资源与水电工程科学国家重点实验室,湖北武汉430072
出 处:《水科学进展》2009年第6期851-856,共6页Advances in Water Science
基 金:"十一五"国家科技支撑计划资助项目(2008BAB29B09);水利部公益性行业科研专项经费资助项目(200701015);国家自然科学基金资助项目(50609017)~~
摘 要:采用三峡水库汛期分期方案,将蓄水时间提前至汛末期,综合考虑上下游防洪、发电、通航和蓄满率等要求,建立了多目标蓄水调度模型,构建了"优化-模拟-检验"的算法流程,采用遗传算法进行求解。结果表明,最优方案在满足上下游防洪安全要求的前提下,蓄水期可增发电量17%,减少弃水44%,蓄满率和通航保证率显著提高。通过对汛末期防洪库容进行科学划分和对蓄水调度图进行优化,既确保防洪安全又最大限度挖掘兴利效益,为研究水库汛末蓄水调度问题提供了一种新的思路和方法。Considering the flood control, the power generation, navigation and the impounding ratios, a multi-objective scheme of impounding in advance is developed. An optimization-simulation-test algorithm is proposed, and the optimal im- pounding schemes for the Three Gorges Reservoir (TGR) are derived using the multi-objective genetic algorithms. The results show that under the condition of ensuring flood safety, the optimal schemes can generate 17% extra hydropower energy, save 44% flood water resources and also improve the fullness storage and navigation guarantee ratios greatly. To maximize compre- hensive utilization benefits on the premise of the flood control safety, the design flood routing method is well combined with the optimization method by scientifically dividing flood storage capacity into two parts and optimizing the reservoir impounding schemes, which provides a new way for studying the reservoir impounding.
分 类 号:TV697.1[水利工程—水利水电工程]
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