[1]盛喆.泵站单机组变角运行优化方法对比研究[J].江苏水利,2019,(06):67-72.
　SHENG Zhe.A comparative study on the optimal operation of single adjustable-blade pump unit[J].JIANGSU WATER RESOURCES,2019,(06):67-72.
点击复制

泵站单机组变角运行优化方法对比研究()
分享到：

《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2019年06期
页码:
67-72
栏目:
水利工程管理及防汛防旱
出版日期:
2019-06-30

文章信息/Info

Title:
A comparative study on the optimal operation of single adjustable-blade pump unit
文章编号:
1007-7839(2019)06-0067-06
作者:
盛喆
中移(苏州)软件技术有限公司, 江苏 苏州 215153
Author(s):
SHENG Zhe
China Mobile(Suzhou)Software Technology Co., Ltd., Suzhou 215153, Jiangsu
关键词:
泵站单机组;  约束条件;  动态惩罚函数遗传算法;  动态规划法;  枚举法
Keywords:
pump unit;  constraint handling;  dynamic penalty function GA;  dynamic programming;  enumeration method
分类号:
TV675
文献标志码:
B
摘要:
针对江都四站泵站单机组变角运行优化问题,提出了解决该问题的数学模型及求解方法。在优化算法的外部提前计算出了各时段满足功率约束的叶片角,降低了优化计算的复杂度。通过实验比较,得出了动态惩罚函数法能更有效地处理提水量约束条件。将动态惩罚函数遗传算法的计算结果和算法运行时间分别与动态规划法、枚举法进行对比,3种方法按照总费用从小到大排序依次是:枚举法、动态惩罚函数遗传算法、动态规划法,3种优化方法相互之间的单位提水费用偏差率均小于0.2%。运算时间方面,动态惩罚函数遗传算法和动态规划法几乎相同,枚举法耗时接近前2种方法的6倍。综合比较,动态惩罚函数遗传算法更适合江都四站泵站单机组变角运行优化问题的计算。
Abstract:
Aiming at the optimization problem of single-unit variable angle operation of Jiangdu NO.4 pumping station, a mathematical model and solving method for solving this problem were proposed. The blade angle that satisfied the power constraint in each period was calculated in advance of the optimization algorithm, which reduced the complexity of the optimization calculation. Through experiment comparison, the dynamic penalty function method could be more effective in treatment of water extraction constraint. Comparing the result and operation time of dynamic penalty function GA with dynamic programming and enumeration method, from small to large sorting of three methods in accordance with total cost was enumeration method, dynamic penalty function GA, dynamic programming, the deviation rate of the unit water charge was all less than 0.2%. In the aspect of operation time, the dynamic penalty function GA and dynamic programming cost almost the same, and the enumeration methods` was 6 times as long as other two methods. Compared comprehensively, the dynamic penalty function GA was more suitable for solving the problem of optimal operation of single adjustable-blade pump unit in Jiangdu NO.4 pumping station.

参考文献/References:

[1] 郭鹏, 任静.南水北调东线一期工程沿线历年水质变化分析[J].南水北调与水利科技, 2014, 12(1):59-64.
[2] 方国华, 耿建强.水库优化调度扰动遗传算法研究[J].水电能源科学, 2009, 27(6):38-40.
[3] 邵琳, 王丽萍, 黄海涛, 等.水电站水库调度图的优化方法与应用:基于混合模拟退火遗传算法[J].电力系统保护与控制, 2010, 38(12):40-43.
[4] 魏加华, 张远东.基于多目标遗传算法的巨型水库群发电优化调度[J].地学前缘, 2010, 17(6):255-262.
[5] Edson da Costa Bortoni, Roberto Alves de Almeida, Augusto Nelson Carvalho Viana. Optimization of parallel variable-speed-driven centrifugal pumps operation [J].Energy Efficiency, 2008(1):167-173.
[6] Jozsef Gergely Bene, Istvan Selek, Csaba Hos. Netural Search Technique for Short-Term Pump Schedule Optimization [J].Water Resour.Plann.Manage, 2010, 136(1):133-137.
[7] Paul W. Jowitt, George Germanopoulos. Optimal pump scheduling in water-supply networks [J].Water Resour. Plann.Manage, 1992, 118(4):406-422.
[8] 江磊, 专祥涛.泵站多机组变频变速调节运行优化研究[J].人民长江, 2018,(18):97-102.
[9] 梁兴.基于粒子群算法的梯级泵站优化调度研究[J].人民黄河, 2015, 37(3):139-141.
[10] 袁尧, 刘超, 等.基于蚁群算法的泵站运行优化及投影寻踪选优策略[J].农业机械学报, 2013, 44(3):38-44.
[11] 冯晓莉, 仇宝云, 黄海田, 等.南水北调东线江都排灌站优化运行研究[J].水力发电学报, 2008, 27(4):130-134.
[12] 程吉林, 张礼华, 张仁田, 等.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):499-504.
[13] 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.
[14] 余文, 李人厚.遗传算法对约束优化问题的研究综述[J].计算机科学, 2002, 29(6):98-101.
[15] 徐健锐, 朱会娟.基于自适应惩罚函数的云工作流调度协同进化遗传算法[J].计算机科学, 2018,(8):105-112.
[16] 张礼华, 程吉林, 张仁田, 等.江都四站站内多机组变角优化运行方式研究[J].扬州大学学报:自然科学版, 2010, 13(2):75-78.
[17] 张德胜, 施卫东, 关醒凡.南水北调东线江都四站装置模型的试验研究[J].水力发电学报, 2011, 30(1):170-174.
[18] 张帝, 姜久春, 张维戈, 等.基于遗传算法的电动汽车换电站经济运行[J].电网技术, 2013, 37(8):2101-2107.
[19] 陈浩, 李军, 唐宇, 等.基于动态惩罚函数遗传算法的电磁探测卫星多星规划方法[J].国防科技大学学报, 2009, 31(2):44-50.
[20] 张爱华, 郭喜跃, 陈前军.动态规划算法分析与研究[J].软件导刊, 2014, 13(12):68-69.
[21] 赵铜铁钢, 雷晓辉, 蒋云钟, 等.水库调度决策单调性与动态规划算法改进[J].水利学报, 2012, 43(4):414-421.
[22] 姚田森, 魏建刚.枚举法在船岸起重机钢丝绳铰点托辊上的应用[J].中国工程机械学报, 2015, 13(3):231-261.

备注/Memo

备注/Memo:
收稿日期:2019-01-23
作者简介:盛喆(1990—),男,硕士研究生,研究方向为泵站调度、智能优化算法。
更新日期/Last Update: 2019-06-15