基于粒子群的水库群联合防洪预报调度规则设计方法
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摘要
科学合理的水库群联合调度在缓解日趋紧张的水资源供需矛盾及充分发挥水库防洪兴利综合效益等方面发挥着重要的作用。为解决梯级水库群联合调度规则制定过程中的复杂问题,结合洪水预报信息的可利用性,提出基于粒子群算法的梯级水库群联合防洪预报调度规则设计方法。该方法首先通过粒子群算法调节不同频率设计洪水求解最优联合调度方案,其次拟定多个合理联合调度规则,最后比较最优联合调度方案和合理联合调度规则的调洪结果,与前者最为接近者即为满意联合调度规则。昭平台-白龟山梯级水库群的实例表明,制定的联合预报调度规则的调洪结果均满足防洪约束要求,故是安全的。
The scientific and rational joint operation of reservoirs plays an important role in relieving the contradiction between water resources supply and demand and improving the flood control and water utilization benefit. In order to solve complex problems in the process of formulating joint flood control operation rules,combining available flood forecast information,a way to design cascade reservoirs joint flood control operation rules with forecast information is proposed by particle swarm optimization( PSO). Firstly,the optimal operation schemes of design floods with different frequencies are calculated by PSO. Secondly,various reasonable operation rules are established. Finally,combing optimal operation schemes and routing results of reasonable operation rules,and the closest to the former is the satisfactory joint operation rule. Zhaopingtai and Baiguishan cascade reservoirs ' example shows that the routing results of the joint flood control operation rules with forecast information made by this method satisfy the flood control requirements,so it is safe.
The scientific and rational joint operation of reservoirs plays an important role in relieving the contradiction between water resources supply and demand and improving the flood control and water utilization benefit. In order to solve complex problems in the process of formulating joint flood control operation rules,combining available flood forecast information,a way to design cascade reservoirs joint flood control operation rules with forecast information is proposed by particle swarm optimization( PSO). Firstly,the optimal operation schemes of design floods with different frequencies are calculated by PSO. Secondly,various reasonable operation rules are established. Finally,combing optimal operation schemes and routing results of reasonable operation rules,and the closest to the former is the satisfactory joint operation rule. Zhaopingtai and Baiguishan cascade reservoirs ' example shows that the routing results of the joint flood control operation rules with forecast information made by this method satisfy the flood control requirements,so it is safe.
引文
[1]大连理工大学,国家防汛抗旱总指挥部办公室.水库防洪预报调度方法及应用[M].北京:中国水利水电出版社,1996.
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[5]董占飞,王丕国,梁国华,等.英那河水库防洪预报调度方案制定与分析[J].南水北调与水利科技,2017,15(3):55-59.
[6]梅超,尹明万,李蒙.考虑不同生态流量约束的黔中水库群优化调度[J].中国农村水利水电,2017,(5):174-180.
[7]纪昌明,张培,吴月秋,等.基于空间映射原理的水库群短期优化调度模型[J].水力发电学报,2017,36(5):58-67.
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[14]董子敖.水库群调度与规划的优化理论和应用[M].济南:山东科学技术出版社,1989.
[15]郑姣,杨侃,倪福全,等.水库群发电优化调度遗传算法整体改进策略研究[J].水利学报,2013,44(2):205-211.
[16]纪昌明,李继伟,张新明,等.基于粗糙集和支持向量机的水电站发电调度规则研究[J].水力发电学报,2014,33(1):43-49.
[17]Kennedy J,Eberhart R.Particle swarm optimization[C]∥Proceedings of IEEE International Conference on Neural Networks.Perth,Australia,1995.
[18]张改红.基于防洪预报调度的水库汛限水位设计与控制研究[D].大连:大连理工大学,2007.
[2]王本德,刁艳芳.基于双标准的水库防洪预报调度规则设计方法[J].水力发电学报,2010,29(3):39-45.
[3]刘招,黄强,于兴杰,等.基于6 h预报径流深的安康水库防洪预报调度方案研究[J].水力发电学报,2011,30(2):4-10.
[4]黄宇昊,付湘,喻杉,等.水库防洪调度规则的参数优化研究[J].水电能源科学,2014,32(12):54-58.
[5]董占飞,王丕国,梁国华,等.英那河水库防洪预报调度方案制定与分析[J].南水北调与水利科技,2017,15(3):55-59.
[6]梅超,尹明万,李蒙.考虑不同生态流量约束的黔中水库群优化调度[J].中国农村水利水电,2017,(5):174-180.
[7]纪昌明,张培,吴月秋,等.基于空间映射原理的水库群短期优化调度模型[J].水力发电学报,2017,36(5):58-67.
[8]贾本有,钟平安,陈娟,等.复杂防洪系统联合优化调度模型[J].水科学进展,2015,26(4):560-571.
[9]黄草,王忠静,李书飞,等.长江上游水库群多目标优化调度模型及应用研究Ⅰ:模型原理及求解[J].水利学报,2014,45(9):1 009-1 018.
[10]周惠成,董四辉,王本德,等.水库群联合防洪预报调度方式及汛限水位研究[J].大连理工大学学报,2006,46(3):401-406.
[11]黄志中,周之豪.防洪系统实时优化调度的多目标决策模型[J].河海大学学报,1994,22(6):16-21.
[12]梅亚东.梯级水库防洪优化调度的动态规划模型及解法[J].武汉水利电力大学学报,1999,32(5):10-12.
[13]覃晖,周建中,王光谦,等.基于多目标差分进化算法的水库多目标防洪调度研究[J].水利学报,2009,40(5):513-519.
[14]董子敖.水库群调度与规划的优化理论和应用[M].济南:山东科学技术出版社,1989.
[15]郑姣,杨侃,倪福全,等.水库群发电优化调度遗传算法整体改进策略研究[J].水利学报,2013,44(2):205-211.
[16]纪昌明,李继伟,张新明,等.基于粗糙集和支持向量机的水电站发电调度规则研究[J].水力发电学报,2014,33(1):43-49.
[17]Kennedy J,Eberhart R.Particle swarm optimization[C]∥Proceedings of IEEE International Conference on Neural Networks.Perth,Australia,1995.
[18]张改红.基于防洪预报调度的水库汛限水位设计与控制研究[D].大连:大连理工大学,2007.