| 复杂防洪系统联合优化调度模型 |
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| 引用本文： | 贾本有,钟平安,陈娟,吴业楠.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. |
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| 作者姓名： | 贾本有 钟平安 陈娟 吴业楠 |
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| 作者单位： | 1.河海大学水文水资源学院, 江苏南京 210098; |
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| 基金项目： | 国家自然科学基金资助项目(51179044);中央高校研究生基本科研基金资助项目(2014B35214) |
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| 摘 要： | 建立以水库群系统安全度最大、行蓄洪区系统损失最小为目标函数,将河道堤防安全行洪考虑为约束条件的复杂防洪系统多目标递阶优化调度模型(MoHOOM),以行蓄洪区总分洪流量为协调变量,将河道水流连续方程解耦,基于大系统分解协调法建立协调层和基于粒子群算法求解底层子系统优化问题,形成三级递阶分解协调结构和相应求解方法。以淮河中游防洪系统为背景进行了实例研究,给出了水库群泄流和行蓄洪区分洪最优方案,在相同初始计算条件下,优化模型结果比实际调度降低了鲇鱼山和梅山水库0.37和0.01的安全度指标,减小下游蒋家集和润河集河段超过安全泄量以上100 m3/s和720 m3/s的洪峰流量,启用南润段行洪区致损1 256.1万元;比规则调度降低了鲇鱼山和梅山水库0.24和0.21的安全度指标,减小下游蒋家集河段超过安全泄量以上750 m3/s的洪峰流量,避免南润段行洪区损失341.6万元。模型有利于挖掘上游水库群的防洪能力,在保障河道堤防安全行洪条件下,减少下游不必要的行蓄洪区分洪损失,以系统全局寻优方式进行复杂防洪系统联合调度。
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| 关 键 词： | 防洪减灾 联合优化调度 水库群 行蓄洪区 分解协调法 粒子群算法 |
| 收稿时间： | 2014-10-17 |
Coordinated optimal operation model of complex flood control system |
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| JIA Benyou,ZHONG Ping'an,CHEN Juan,WU Yenan.Coordinated optimal operation model of complex flood control system[J].Advances in Water Science,2015,26(4):560-571. |
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| Authors: | JIA Benyou ZHONG Ping'an CHEN Juan WU Yenan |
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| Institution: | 1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China;2.National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Nanjing 210098, China |
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| Abstract: | Study of a coordinated optimal operation of complex flood control system which consists of multi reservoirs, river channels and flood storage areas, is one of the most complex tasks in flood disaster mitigation. This paper introduces a Multi-objective Hierarchy Optimization Operation Model (MoHOOM), which sets maximum multi reservoirs system safety and minimum flood storage areas system losses as two objective functions and uses safe river channel discharge capacity as a constraint. The MoHOOM theoretical background is established by decomposition and coordination approach of large scale system theory and particle swarm optimization, the optimal solution is derived for each level derived by a third-order hierarchical decomposition and coordination structure. The MoHOOM is applied to optimal operation of complex flood control system in middle reaches of Huaihe River basin of China. The results show that the MoHOOM can efficiently calculate outflow hydrograph of multi reservoirs system and flood diversion hydrograph of flood storage areas system. Meanwhile, under the same initial calculation conditions, optimal operation reduces the safety indicator by 0.37 and 0.01 in Nianyushan and Meishan reservoir respectively; lowers the peak flow upon safe discharge capacity by 100 m3/s and 720 m3/s at Jiangjiaji and Runheji channel respectively; leads to 12.56 million Yuan losses in flood storage area, when compared to actual operation. Optimal operation reduces the safety indicator by 0.24 and 0.21 in Nianyushan and Meishan reservoir respectively; lowers the peak flow upon safe discharge capacity by 750 m3/s at Jiangjiaji channel; reduces losses by 3.42 million Yuan at flood storage area, when compared to rule-based operation. The MoHOOM is in favor of excavating multi reservoirs flood control capacities, reduces unnecessary losses in flood storage area under condition of ensuring safe discharge capacity in river channels, and ensures global optimization to coordinated operation of complex flood control system. |
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| Keywords: | flood control and disaster mitigation coordinated optimal operation multi reservoirs flood storage area decomposition and coordination approach particle swarm optimization |
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