排灌机械工程学报
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排灌机械工程学报  2011, Vol. 29 Issue (6): 497-502    DOI: 10.3969/j.issn.1674—8530.2011.06.008
泵站工程与给排水 最新目录 | 下期目录 | 过刊浏览 | 高级检索 Previous Articles  |  Next Articles  
基于DPSA传统分解聚合模型的并联泵站优化
仇锦先1, 程吉林1, 张仁田2, 张礼华1
(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)
Application of traditional decomposition amalgamation method based on DPSA in optimal regulation of parallel pumping stations
Qiu Jinxian1, Cheng Jilin1, Zhang Rentian2, Zhang Lihua1
(1.College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, Jiangsu 225009, China; 2.Jiangsu Surveying & Design Institute of Water Resources Co.Ltd.,Yangzhou, Jiangsu 225009, China)
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摘要 针对多决策变量复杂非线性系统优化问题,引入基于DPSA的传统分解聚合模型进行并联泵站叶片全调节优化运行研究.首先将大系统分解为若干个子系统,采用DPSA法对各子系统进行优化;再以各子系统分配水量作为关联变量将各子系统回归方程进行聚合,并由聚合模型确定整个系统的最优解;最后通过关联变量将系统最优解反馈到各子系统,从而得到各子系统相应优化调度过程.通过在江都并联泵站叶片全调节优化中的应用,实现了系统总费用最小时的优化调度过程,确定了各站各时段开机台数及叶片角度的最优组合方案,表明了方法的可行性.同时以单位提水费用为指标,按考虑峰谷电价与不考虑两种情况,分析了江都站不同日均扬程、不同运行负荷下,叶片全调节相对定角恒速的优化运行效果,其中考虑峰谷电价节省费用较多,在满负荷、80%负荷、60%负荷运行情况下,不同日均扬程单位费用节省率均值分别为7.52%,22.19%,25.89%.
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仇锦先
程吉林
张仁田
张礼华
关键词泵站优化   分解聚合   动态规划逐次渐近   定角恒速     
Abstract: According to the complex nonlinear optimization problem of multiple decision variables,the traditional decompositionamalgamation method based on dynamic programming successive approximation(DPSA)  was applied in the  optimization of parallel operation of the blade adjustable pumps in a pumping station.Firstly,the large scale system was decomposed into a series of subsystems,for each  decomposed subsystem,DPSA was applied respectively in order to search for the relationship between its own optimization target and interrelated variable,then its regression equation was obtained through regression analysis.Secondly,the aggregation model was constructed based on the subsystems’ regression  equations,then optimal solution of the aggregation model was obtained.Finally,through feedback  of interrelated variables to each subsystem,the operational operation modes of subsystems in different periods were determined.With the method applied in blade adjusting optimization of Jiangdu Pumping Station,the optimal regulation process was realized,and showed that this method is feasible.In addition,by selecting the unit energy consumption cost(UECC) as an evaluation index,with and  without  considering peak valley electricity prices,a comparison analysis of UECC of the optimized  operations was made between the bladeadjustable pumps and the conventional ones at various daily average heads and operation loadings.The result indicated that the saving rates of UECC were 7.52%,22.19% and 25.89% under operation loading of 100%,80% and 60%,respectively.
Key wordspumping stations optimization   decomposition amalgamation   dynamic programming successive approximation   fixed blade setting angle and constant speed   
收稿日期: 2010-11-15; 出版日期: 2011-11-30
基金资助:

国家自然科学基金资助项目( 60974099) ; 江苏省属高校自然科学研究项目( 11KJB570002) ; 扬州大学校“新世纪人才工程”科研经费资助项目

通讯作者: 程吉林( 1963-),男,江苏常熟人,教授,博士生导师(jlcheng@ yzu.edu.cn) , 主要从事水利规划优化理论与应用研究.   
作者简介: 程吉林( 1963-),男,江苏常熟人,教授,博士生导师(jlcheng@ yzu.edu.cn) , 主要从事水利规划优化理论与应用研究.
引用本文:   
仇锦先,程吉林,张仁田等. 基于DPSA传统分解聚合模型的并联泵站优化[J]. 排灌机械工程学报, 2011, 29(6): 497-502.
CHOU Jin-Xian,CHENG Ji-Lin,ZHANG Ren-Tian et al. Application of traditional decomposition amalgamation method based on DPSA in optimal regulation of parallel pumping stations[J]. Journal of Drainage and Irrigation Machinery Engin, 2011, 29(6): 497-502.
 
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