基于混合遗传算法的矿井排水系统优化
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摘要
针对井下排水系统水泵开机的不确定性和不规律性造成耗电量过大的问题,提出一种以排水系统最小能耗为目标函数的优化调度模型,利用混合遗传算法寻找最优解。仿真结果表明,该方法能够有效避免遗传算法容易出现的早熟现象,提高局部寻优能力,具有较强的适用性。排水系统的平均节能效率达到6.5%以上。
Aiming at the problem that start-stop scheme of the pumps is uncertain and irregular,which cause excessive power consumption.This paper proposes an optimal operation model whose objective function is the minimum energy consumption of the drainage system,using the hybrid genetic algorithm to find the optimal solution.Simulation results show that this method can effectively avoid the premature of genetic algorithm,and improve the local searching capability,as well as has strong applicability,and the average energy saving efficiency of the drainage system is above 6.5%.
Aiming at the problem that start-stop scheme of the pumps is uncertain and irregular,which cause excessive power consumption.This paper proposes an optimal operation model whose objective function is the minimum energy consumption of the drainage system,using the hybrid genetic algorithm to find the optimal solution.Simulation results show that this method can effectively avoid the premature of genetic algorithm,and improve the local searching capability,as well as has strong applicability,and the average energy saving efficiency of the drainage system is above 6.5%.
引文
[1]Zhen Yuyang,B rsting H.Optimal Scheduling and Control of aMulti-pump Boosting System[C]//Proc.of IEEE InternationalConference on Control Applications.Yokohama,Japan:IEEEPress,2010.
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[4]张文钢,黄刘琦.水泵的节能技术[M].上海:上海交通大学出版社,2010.
[5]Guo Junzhong,Qi Yuansheng,Xu Yafen,et al.OperationParameters Optimization of Centrifugal Pumps in Multi-sourcesWater Injection System[C]//Proc.of International Technology andInnovation Conference.Hangzhou,China:[s.n.],2006.
[6]周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,1999.
[7]刘扬,杨建军,魏立新.改进遗传模拟退火算法在配电网络重构中的应用[J].电力系统及其自动化学报,2004,16(5):39-42.
[8]Srinvias M,Patnaik L M.Adaptive Probabilities of Crossover andMutation in Genetic Algorithms[J].IEEE Transactions on Systems,Man,and Cybernetics,1994,24(4):657-667.
[9]王小平,曹立明.遗传算法:理论、应用与软件的实现[M].西安:西安交通大学出版社,2002.
[2]郭俊忠,常玉连,高胜.注水系统运行方案优化研究[J].系统工程理论与实践,2002,22(12):127-130.
[3]王宏江,陆桂华.遗传算法在尔王庄枢纽泵站优化调度中的应用[J].水利水电技术,2003,34(3):50-53.
[4]张文钢,黄刘琦.水泵的节能技术[M].上海:上海交通大学出版社,2010.
[5]Guo Junzhong,Qi Yuansheng,Xu Yafen,et al.OperationParameters Optimization of Centrifugal Pumps in Multi-sourcesWater Injection System[C]//Proc.of International Technology andInnovation Conference.Hangzhou,China:[s.n.],2006.
[6]周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,1999.
[7]刘扬,杨建军,魏立新.改进遗传模拟退火算法在配电网络重构中的应用[J].电力系统及其自动化学报,2004,16(5):39-42.
[8]Srinvias M,Patnaik L M.Adaptive Probabilities of Crossover andMutation in Genetic Algorithms[J].IEEE Transactions on Systems,Man,and Cybernetics,1994,24(4):657-667.
[9]王小平,曹立明.遗传算法:理论、应用与软件的实现[M].西安:西安交通大学出版社,2002.