文章摘要
程吉林,张礼华,张仁田,龚懿.泵站叶片可调单机组日运行优化方法研究[J].水利学报,2010,41(4):
泵站叶片可调单机组日运行优化方法研究
Study on optimal daily operation of single adjustable-blade pump unit in pumping station
  
DOI:
中文关键词: 泵站  单机组  叶片全调节  安放角  优化
英文关键词: pump station  single pump unit  adjustable-blade  setting angle  optimization
基金项目:
作者单位
程吉林 扬州大学水利科学与工程学院江苏扬州225009 
张礼华 扬州大学水利科学与工程学院江苏扬州225009 
张仁田 1. 扬州大学水利科学与工程学院江苏扬州225009
2. 江苏省水利勘测设计研究院有限公司江苏扬州225009 
龚懿 扬州大学水利科学与工程学院江苏扬州225009 
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中文摘要:
      提出叶片可调单机组日运行优化动态规划数学模型,以耗电费用最少为目标函数,峰谷电价与站下水位变幅过程划分阶段变量,各阶段开机水泵的叶片安放角为决策变量,规定时段内的抽水量为约束条件。以受长江潮汐影响的江都四站为例进行计算,结果表明:(1)在典型潮位过程、设计日均扬程、机组满负荷工作时,叶片可调单机组日运行优化结果与叶片安放角维持原设计安放角相比可节省电费5. 24%;叶片安放最优角度与峰谷电价相关,峰电时为- 4°,非峰谷与谷电时为+ 2°。(2)在潮型不变情况下,日均扬程分别为4. 8、5. 8、6. 8、7. 8 和8. 3m 时,叶片全调节运行方式与叶片维持原设计安放角相比,可节省费用在3. 4% ~ 6. 2%之间,平均节省费用4. 45%,单位提水费用平均下降4. 55%。
英文摘要:
      A dynamic planning model for optimal daily operation of single adjustable-blade pump station is proposed,in which minimum cost of energy consumption is set as the objective function, the different electric prices in peak and valley hours and water levels variation in the downstream of the pump station are defined as stage variables,the blade angle is expressed as a decision variable and the water volume to be pumped in a specified period is considered as constraint. The No. 4 Jiangdu Pump Station is taken as a study case. The sump water level of this station is affected by the tide of Yangtze River. The application results shows that: (1) the comparison of optimal adjustableblade scheme with that of designed setting angle of blade shows that in typical tidal process with designed average pumping head and operated at full-load,the energy-saving reaches 5. 24%. The optimal blade angle is only related to the electric price in peak-valley loads. The blade angle - 4° corresponds to peak loads and + 2° corresponds to both valley loads and un-peak-valley loads; (2) the comparison of optimized results with fixed blade angle operation indicates that when the tidal stencils unchanged and average pumping heads are 4. 8,5. 8,6. 8,7. 8 and 8. 3m respectively,the cost saving is in the range from 3. 4% to 6. 2% with the average equal to 4. 5%,and the specific pumping cost per cubic water decreases by 4. 55%.
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