Abstract:In order to reasonably select a regulation mode of pump units and therefore to realize the optimal operation, a technical analysis was conducted under the consideration of the following factors as regulating system components, transient characteristics during startup and shut down, installation and maintenance, reliability and applicability, and so on. Then, a method for quantitatively selecting the regulation mode of pump units was put forward, in which the total cost on equipment investment and pump units operation was minimized to allow the units to be operated optimally in a large pumping station. Nevertheless, head variation, operating time, variable operating conditions, equipment investments and operation cost were taken into account comprehensively in the method. For typical types of pump, their regulation model was optimized by using the method. The results indicate that it is necessary to install a blade angle adjusting device or pump rotational speed regulating instrumentfrequency converter when either the operating head is much more deviated from the high efficiency zone of a pump unit or there is a larger variation in the head. Additionally, the head annual variation profile also has a certain influence on selection of the regulation mode. After the cost on instruments is reduced, the economical benefit caused from a realized optimal operation by means of either the blade angle adjusting device or rotational speed regulating instrument is even more considerable since the head can be varied in a significantly wide range. The method provides evident for quantitatively determining regulation mode of pump units.
冯晓莉, 仇宝云, 杨兴丽, 董波. 大型泵站水泵机组工况调节方式定量优化选择[J]. 排灌机械工程学报, 2012, 30(6): 683-689.
FENG Xiao-Li, CHOU Bao-Yun, YANG Xing-Li, DONG Bo. Quantitatively optimal selection on regulation mode of pump unit in large pumping stations. Journal of Drainage and Irrigation Machinery Engin, 2012, 30(6): 683-689.
[1]Feng Xiaoli, Qiu Baoyun, Cao Haihong, et al. Optimal operation for Baoying pumping station in East Route Project of SouthtoNorth Water Transfer[J]. Chinese Journal of Mechanical Engineering, 2009, 22(1):78-83.[2]冯晓莉,仇宝云,王斐,等.南水北调东线高港泵站优化运行方案研究[J].水利学报,2010, 41(4):412-418.Feng Xiaoli, Qiu Baoyun, Wang Fei, et al. Study on optimal operation schemes of Gaogang pumping station in Eastern Route of SouthtoNorth Water Transfer Project[J]. Journal of Hydraulic Engineering, 2010, 41(4):412-418. (in Chinese)[3]仇锦先, 程吉林, 张仁田, 等. 江都站不同型号机组叶片全调节优化运行效果分析[J]. 南水北调与水利科技, 2009,7(6):85-89.Qiu Jinxian, Cheng Jilin, Zhang Rentian, et al. Effect analysis of bladeadjusting optimization operation of differenttype pumps in Jiangdu pumping station[J]. SouthtoNorth Water Transfers and Water Science & Technology, 2009,7(6):85-89.(in Chinese)[4]JiménezBello M A, Martínez Alzamora F, Bou Soler V, et al. Methodology for grouping intakes of pressurised irrigation networks into sectors to minimise energy consumption[J]. Biosystems Engineering, 2010, 105(4): 429-438.[5]谭奇峰,李迎春.东深供水改造工程大型输水泵选型概述[J].水泵技术,2002(2): 8-12.Tan Qifeng, Li Yingchun. Overview of large pump selection of DongjiangShenzhen water supply reconstruction project[J]. Pump Technology, 2002(2): 8-12. (in Chinese)[6]Gerd W. Blade adjustment cuts energy costs[J]. World Pumps, 2009(8): 28-31.[7]Moreno M A, Planells P, Córcoles J I, et al. Development of a new methodology to obtain the characteristic pump curves that minimize the total cost at pumping stations[J]. Biosystems Engineering, 2009, 102(1): 95-105.[8]程吉林,张礼华,张仁田,等.泵站单机组变速运行优化方法研究[J].农业机械学报,2010,41(3):72-76.Cheng Jilin, Zhang Lihua, Zhang Rentian, et al. Optimal methodology of singleunit variable speed operation in pumping station[J]. Transactions of the Chinese Society for Agricultural Machinery, 2010,41 (3):72-76.(in Chinese)[9]Zhao Tianyi, Zhang Jili, Ma Liangdong. Online optimization control method based on extreme value analysis for parallel variablefrequency hydraulic pumps in central airconditioning systems[J]. Building and Environment, 2012, 47: 330-338.[10]István S, József G B, Csaba H. Optimal (shortterm) pump schedule detection for water distribution systems by neutral evolutionary search[J]. Applied Soft Computing, 2012, 12(8): 2336-2351.