| 基于遗传算法的矿山用泵机组优化运行 |
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| 引用本文： | 李长龙,范竞存,彭岩,凌骏,周邵萍.基于遗传算法的矿山用泵机组优化运行[J].医学教育探索,2016(2):266-270. |
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| 作者姓名： | 李长龙 范竞存 彭岩 凌骏 周邵萍 |
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| 作者单位： | 华东理工大学承压系统与安全教育部重点实验室, 上海 200237,华东理工大学承压系统与安全教育部重点实验室, 上海 200237,华东理工大学承压系统与安全教育部重点实验室, 上海 200237,华东理工大学承压系统与安全教育部重点实验室, 上海 200237,华东理工大学承压系统与安全教育部重点实验室, 上海 200237 |
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| 基金项目： | 国家科技支撑项目(2013BAF01B01) |
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| 摘 要： | 针对矿山用泵机组在运行过程中功耗过大的问题,以机组中各泵的流量为自变量,以总流量、单台泵流量、泵开启台数为约束条件,以电机的总输入功率最小为目标函数,建立了矿山用泵机组优化运行的数学模型。利用遗传算法得到泵机组在给定总流量下的最优流量分配,使其经济运行,并改善了泵机组粗调或不调的现状。
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| 关 键 词： | 泵机组 遗传算法 优化运行 |
| 收稿时间： | 2015/6/11 0:00:00 |
Optimal Operation of Mine Pump Units Based on Genetic Algorithms |
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| LI Chang-long,FAN Jing-cun,PENG Yan,LING Jun and ZHOU Shao-ping.Optimal Operation of Mine Pump Units Based on Genetic Algorithms[J].Researches in Medical Education,2016(2):266-270. |
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| Authors: | LI Chang-long FAN Jing-cun PENG Yan LING Jun and ZHOU Shao-ping |
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| Institution: | Key Laboratory of Pressurized Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China,Key Laboratory of Pressurized Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China,Key Laboratory of Pressurized Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China,Key Laboratory of Pressurized Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China and Key Laboratory of Pressurized Systems and Safety, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China |
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| Abstract: | Due to the problem of large power consumption of mine pump units during operation, a mathematical model is established to improve the operation efficiency of the pump units. In this model, the total flow, single pump flow rate and numbers of open pump sets are chosen as the constraint conditions of the mathematical model, the ratio of the actual flow rate is chosen as the variable independent, while the minimum total input power of the dynamos is treated as the objective function of the operational model of the pump units. Genetic algorithms are used to optimize the operation mode of the pump units in order to make the pump units operate economically and reduce the inefficient pump adjustment. |
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| Keywords: | pump units genetic algorithms optimal operation |
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