高级检索+

基于SWMM的城市闸泵群防洪排涝滚动优化控制研究

买伊伊, 刘攀, 罗鑫燃, 周立浩

买伊伊, 刘攀, 罗鑫燃, 周立浩. 基于SWMM的城市闸泵群防洪排涝滚动优化控制研究[J]. 中国农村水利水电, 2023, (4): 208-214,220.
引用本文: 买伊伊, 刘攀, 罗鑫燃, 周立浩. 基于SWMM的城市闸泵群防洪排涝滚动优化控制研究[J]. 中国农村水利水电, 2023, (4): 208-214,220.
MAI Yi-yi, LIU Pan, LUO Xin-ran, ZHOU Li-hao. Optimal Rolling Control of Urban Sluice Pump Group to Decrease Flood Risk of a Drainage System Based on SWMM[J]. China Rural Water and Hydropower, 2023, (4): 208-214,220.
Citation: MAI Yi-yi, LIU Pan, LUO Xin-ran, ZHOU Li-hao. Optimal Rolling Control of Urban Sluice Pump Group to Decrease Flood Risk of a Drainage System Based on SWMM[J]. China Rural Water and Hydropower, 2023, (4): 208-214,220.

基于SWMM的城市闸泵群防洪排涝滚动优化控制研究

基金项目: 

国家自然科学基金重点项目(U1865201

51861125102)

科技部重点领域创新团队(2018RA4014)

详细信息
    作者简介:

    买伊伊(1998-),女,硕士研究生,研究方向为城市防涝。E-mail:2020202060004@whu.edu.cn

    通讯作者:

    刘攀(1978-),男,教授,博士生导师,研究方向为水库调度。E-mail:liupan@whu.edu.cn

  • 中图分类号: TU992

Optimal Rolling Control of Urban Sluice Pump Group to Decrease Flood Risk of a Drainage System Based on SWMM

  • 摘要: 充分发挥管网调蓄能力,是应对城市内涝的重要手段。已有研究均针对于削减系统溢流量单一目标设计调度策略,缺乏考虑闸门开闭频繁造成的电力损耗和故障风险。为此,提出一种以削减系统溢流量和闸门开闭次数为优化目标的城市闸泵滚动优化控制模型,以美国诺福克海牙街区为对象开展实例研究。相比于静态调度,优化控制模型溢流削减率达到31.2%;相比于以削减溢流量为单一目标的调度方案,在保证排水系统溢流量基本不增加的同时,闸门开闭减少了59.80%。提出的方法能够为城市内涝时排水系统的调度方案的制定提供理论依据和科学指导。
    Abstract: Improving the regulation and storage capacity of pipe networks is an important research topic in relieving urban waterlogging disasters. Studies have been conducted to design scheduling strategies with the single objective of reducing system overflow, lacking consideration of the loss and risk caused by frequent gate openings and closings.To address this issue, this paper proposes an optimal rolling control model for an urban sluice pump group drainage system with the optimization goal of reducing system overflow and gate opening and closing times, using the neighbourhood of The Hague in Norfolk as an exemplary study. The overflow volume of the optimal rolling control model is 31.2%lower than the value of static scheduling.The gate opening and closing times of this model are 59.8% lower than the dispatching scheme with the single goal of reducing the overflow, while the overflow of the drainage system has been reduced.The proposed method is helpful for the formulation of a dispatching scheme of urban drainage system in case of waterlogging.
  • [1] 张建云,王银堂,贺瑞敏,等.中国城市洪涝问题及成因分析[J].水科学进展,2016,27(4):485-491.

    ZHANG J Y, WANG Y T, HE R M, et al. Discussion on the urban flood and waterlogging and causes analysis in China[J]. Advances in Water Science, 2016,27(4):485-491.

    [2] 全星.广州市某河涌流域城市排水系统实时控制模型研究[D].广州:华南理工大学,2020.QUAN X. Study on real-time control model of urban drainage system in one river catchment of Guangzhou city[D]. Guangzhou:South China University of Technology, 2020.
    [3] 谭玲,姚帏之,李廉水,等.城市暴雨洪涝灾害直接经济损失的文献计量分析[J].灾害学,2020,35(3):179-185.

    TAN L N, YAO W Z, LI L S, et al. Direct economic loss assessment of urban storm flood disasters based on bibliometric analysis[J].Journal of Catastrophology, 2020,35(3):179-185.

    [4] 陈秋伶,林凯荣,陈文龙,等.多尺度海绵城市系统雨洪控制研究[J].水利学报,2022,53(7):1-14.

    CHEN Q L, LIN K R, CHEN W L,et al. Study on storm flood control in multi-scale sponge city system[J]. Journal of Hydraulic Engineering, 2022,53(7):1-14.

    [5]

    GARCIA L, BARREIRO-GOMEZ J, ESCOBAR E, et al. Modeling and real-time control of urban drainage systems:A review[J].Advances in Water Resources, 2015,85:120-132.

    [6]

    DONG X, HUANG S, ZENG S. Design and evaluation of control strategies in urban drainage systems in Kunming city[J]. Frontiers of Environmental Science&Engineering, 2017,11(4).

    [7] 王浩正,邱依婷,韩冠宇,等.基于马斯京根方法的概念模型在排水系统中的应用[J].中国给水排水,2021,37(13):113-120.

    WANG H Z, QIU Y T, HAN G Y, et al. Construction and application of conceptual model based on muskingum method in urban drainage system[J]. China Water&Wastewater, 2021,37(13):113-120.

    [8] 梁益闻.城市河湖闸泵群防洪排涝优化调度模型研究[D].武汉:华中科技大学,2018.LIANG Y W. Research on optimal scheduling model of urban river sluice pump group drainage system[D]. Wuhan:Huazhong University of Science&Technology, 2018.
    [9]

    GAROFALO G, GIORDANO A, PIRO P, et al. A distributed real-time approach for mitigating CSO and flooding in urban drainage systems[J]. Journal of Network and Computer Applications, 2017,78:30-42.

    [10]

    LUND N S V, BORUP M, MADSEN H, et al. CSO reduction by Integrated model predictive control of stormwater inflows:A simulated proof of concept using linear surrogate models[Z]. 2020:56.

    [11] 刘攀,郭生练,李玮,等.遗传算法在水库调度中的应用综述[J].水利水电科技进展,2006(4):78-83.

    LIU P, GUO SL, LI W, et al. A review of application of genetic algorithm to reservoir operation[J]. Advances in Science and Technology of Water Resources, 2006(4):78-83.

    [12] 刘攀.水库洪水资源化调度关键技术研究[D].武汉:武汉大学,2005.LIU P. Key technology problems of flood water resources utilizing in reservoir operation[D]. Wuhan:Wuhan University, 2005.
    [13]

    RIANO-BRICENO G, BARREIRO-GOMEZ J, RAMIREZ-JAIME A, et al. MatSWMM-An open-source toolbox for designing real-time control of urban drainage systems[J]. Environmental Modelling&Software, 2016,83:143-154.

    [14]

    SADLER J M, GOODALL J L, BEHL M, et al. Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5[J]. Environmental Modelling&Software, 2019,120:104 484.

    [15] 陈晓燕,张娜,吴芳芳,等.雨洪管理模型SWMM的原理、参数和应用[J].中国给水排水,2013,29(4):4-7.

    CHEN X Y, ZHANG N, WU F F, et al. Stormwater Management Model(SWMM):Principles, Parameters and Applications[J].China Water&Wastewater, 2013,29(4):4-7.

    [16]

    SADLER J M, GOODALL J L, BEHL M, et al. Exploring real-time control of stormwater systems for mitigating flood risk due to sea level rise[J]. Journal of Hydrology, 2020,583:124 571.

    [17]

    ZAHURA F T, GOODALL J L, SADLER J M, et al. Training machine learning surrogate models from a high-fidelity physics-based model:Application for real-time street-scale flood prediction in an urban coastal community[J]. Water Resources Research, 2020,56(10).

    [18]

    SHISHEGAR S, DUCHESNE S, PELLETIER G. An integrated optimization and rule-based approach for predictive real time control of urban stormwater management systems[J]. Journal of Hydrology, 2019,577:124 000.

计量
  • 文章访问数:  0
  • HTML全文浏览量:  0
  • PDF下载量:  0
  • 被引次数: 0
出版历程
  • 收稿日期:  2022-05-30

目录

    /

    返回文章
    返回