基于NSGA-Ⅱ方法的三峡水库汛末蓄水期多目标生态调度研究

发布时间：2018-03-16 11:02

本文选题：三峡水库　切入点：汛末蓄水期　出处：《水利水电技术》2017年01期 　论文类型：期刊论文

【摘要】：为充分发挥三峡水库的经济效益和生态效益,建立了以三峡水电站发电量最大和下游河道适宜生态流量改变度最小为目标的水库优化调度模型,基于生态水文学法量化了下游河道适宜生态流量。为有效求解多目标优化问题,引入带有精英保留策略的非支配排序遗传算法(non-dominated sorting genetic algorithm,NSGA-II)作为调度模型的寻优算法。通过比较2015年调度期内三峡水库优化调度方案和现行调度方案的发电效益和生态效益表明:提高生态流量改变度0.63%可使发电量增加2.32%,降低0.58%的发电量将生态流量改变度降低8.86%。该算法避免了对多目标进行加权求解的盲目性,能获得多个兼顾两个目标且分布均匀、收敛性较好的优化调度方案,为决策者提供了多种可行的选择。研究成果为三峡水库蓄水优化调度提供理论依据和具体方案参考。
[Abstract]:In order to give full play to the economic and ecological benefits of the three Gorges Reservoir, a model for optimal operation of the reservoir is established, which aims at the maximum power generation of the three Gorges Hydropower Station and the minimum change degree of the appropriate ecological discharge in the downstream channel. Based on the method of ecological hydrology, the suitable ecological flow of the downstream river is quantified. In order to solve the multi-objective optimization problem effectively, The non-dominated sorting genetic algorithm NSGA-II) with elite retention strategy is introduced as the optimization algorithm of the dispatching model. By comparing the power generation benefit and generation of the three Gorges Reservoir optimal scheduling scheme and the current dispatching scheme during the operation period of 2015, this paper introduces the non-dominated sorting genetic algorithm NSGA-IIs. The results show that increasing the change degree of ecological flow (0.63%) can increase the power generation by 2.322.32, and reduce the power generation by 0.58% (8.86%). The algorithm avoids the blindness of weighted multi-objective solution. A number of optimal scheduling schemes with uniform distribution and good convergence can be obtained which can provide a variety of feasible options for decision makers. The research results provide theoretical basis and specific scheme reference for the optimal operation of the three Gorges Reservoir impoundment.
【作者单位】：三峡大学水利与环境学院;三峡库区生态环境教育部工程研究中心;中国水利水电科学研究院;
【基金】：国家自然科学基金(51409151,51409153) 三峡库区生态环境教育部工程研究中心开放基金(KF2016-08) 长江科学院开放基金(CKWV2016373/KY)
【分类号】：TV697.11

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