摘要
为解决抽水蓄能电站侧式进/出水口扩散段体型优化时传统优化方法通常依据工程经验进行体型调整,导致进流与出流时的水力特性难以同时满足最优的问题,以扩散段体型参数为设计变量,以进/出流各水力指标作为优化目标,利用响应面法建立了两者之间的代理模型.利用带精英策略的非支配排序遗传算法(NSGA-Ⅱ)进行了多目标优化,得到最优体型.研究结果表明:采用NSGA-Ⅱ可以解决双向水流条件下各目标难以同时满足最优的问题.此外,只须在建立代理模型过程中进行计算流体动力学(CFD)计算,而优化时无须进行,有效提高了进/出水口体型的优化效率.
In order to solve the problem that traditional optimization methods usually adjust the shape according to engineering experience,and the optimum hydraulic characteristics of inlet and outlet are difficult to satisfy simultaneously when optimizing the shape of side inlet/outlet diffusion section of pumped storage power station,the shape parameters of diffusion section was taken as design variables,the hydraulic indexes of inlet/outlet was taken as optimization objectives,and the agency model between them was established by response surface method.Multi-objective optimization was carried out by using the non-dominated sorting genetic algorithm(NSGA-Ⅱ),and the optimal shape was obtained.Research results show that the NSGA-Ⅱ can solve the problem that it is difficult for each objective to satisfy the optimal shape simultaneously under the condition of two-flow direction.In addition,the computational fluid dynamics(CFD) calculation only needs to be performed when the agent model is established while doesn’t need when optimizing,which effectively improves the efficiency of the optimization of the intake/outlet shape.
作者
高学平
秦孜学
朱洪涛
孙博闻
GAO Xueping;QIN Zixue;ZHU Hongtao;SUN Bowen(State Key Laboratory of Hydraulic Engineering Simulation and Safety,Tianjin University,Tianjin 300350,China)
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2019年第11期127-132,共6页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金创新群体基金资助项目(51621092)
关键词
侧式进/出水口
双向水流
响应面法
遗传算法
多目标优化
side inlet/outlet
two-flow directions
response surface method
genetic algorithm
multi-objective optimization
