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基于水厂变流变压曲线的高压变频器节能应用(续) 被引量:2

Construction of Water Supply Pipe Network Optimization Model and Energy Saving and Reducing Leakage Operation(Continued)
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摘要 管网末端压力与水厂出厂压力相关,应用推断控制算法并基于宏观模型数据构建推断子模型,以推断末端压力,进而建立末端压力与出厂压力的关系模型,即水厂变流变压曲线模型(亦称管网压力控制曲线模型)。出厂流量输入模型,预测输出(控制)出厂压力,并推断(间接控制)末端压力恒定在规定范围,满足用户需要又无多余扬程。桂城水厂供水泵站变频控制泵群沿此曲线运行,调速泵和定速泵均节电运行,单耗降低了7.62%~10%,管网末端压力精度±0.002MPa。 The end-point pressure of the pipe network is related to the factory pressure of the water plant. The inferred control algorithm is used to construct the deductive sub-model based on the macroscopic model data to infer the end pressure, and then establish the relationship model between the terminal pressure and the factory pressure.(Also known as pipe network pressure control curve model). The factory flow input model predicts the output(control) of the factory pressure and inverts(indirect control) the end pressure constant within the specified range to meet the user's needs without any extra head.Guicheng water supply pump station frequency control pump group along this curve,speed pump and constant speed pump are energy-saving operation, unit consumption reduced by 7.62% to 10%, pipe network end pressure accuracy ± 0.002 MPa.
出处 《变频器世界》 2017年第11期55-58,79,共5页 The World of Inverters
关键词 推断控制 管网末端压力 高压变频器 变流变压曲线 Inferred control Pipe network end pressure High voltage inverter Variable flow pressure curve
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  • 1廖振良,俞国平,叶伯明.多水源给水管网宏观模型的开发与应用[J].同济大学学报(自然科学版),2004,32(9):1188-1191. 被引量:8
  • 2俞国平.给水管网中仪表测量方案的选择[J].给水排水,1995,21(11):36-39. 被引量:1
  • 3程伟平,郑冠军,俞停超,毛根海,吉乔伟.供水管网状态估计研究进展[J].中国给水排水,2006,22(20):9-13. 被引量:9
  • 4张承慧,裴荣辉,石庆升,马永庆.城市变频调速给水泵站的优化配置[J].山东大学学报(工学版),2007,37(2):97-102. 被引量:8
  • 5Lansey K E,El -Shorbagy W,Ahmed I,et al.Calibration assessment and data collection for water distribution networks[J].J Hydraulic Eng,2001,127 (4):270 -279.
  • 6Lansey K E,Basnet C.Parameter estimation for water distribution networks[J].J Water Resour Planning Manage,1991,117(1):126-144.
  • 7Edalny P V N,Sridharan K,Rao P V.WLS method for parameter estimation in water distribution networks[J].J Water Resour Planning Manage,1996,122 (3):157 -164.
  • 8Lingireddy S,Ormsbee L E.Optimal network calibration model based on genetic algorithms[A].29th Annual Water Resources Planning and Management Conference[C].Tempe,Arizona,USA:ASCE Press,1999.
  • 9Ainola L,Koppel T,Tiiter K,et al.Water network model calibration based on grouping pipes with similar leakage and roughness estimates[A].Water Resources 2000[C].Minneapolis,Minnesota,USA:ASCE Press,2000.
  • 10Mallick K N,Ahmed I,Tickle K S,et al.Determining pipe groupings for water distribution networks[J].Journal of Water Recource Planning and Management,2002,128(2):130-139.

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