[1]李俊德,范功端.融合进水调度控制的雨水调蓄设施多目标优化设计[J].中国给水排水,2022,38(9):111-117.
　LIJun-de,FANGong-duan.Multi-objective Optimization Design of Rainwater Storage Facilities Integrating Inflow Regulation[J].China Water & Wastewater,2022,38(9):111-117.
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融合进水调度控制的雨水调蓄设施多目标优化设计

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第38卷 期数: 2022年第9期 页码: 111-117 栏目: 出版日期: 2022-05-01
Title:
Multi-objective Optimization Design of Rainwater Storage Facilities Integrating Inflow Regulation
作者:
李俊德1,2， 范功端1
（1.福州大学 土木工程学院，福建 福州 350108；2.哈尔滨工业大学 环境学院，黑龙江 哈尔滨 150090）
Author(s):
LI　Jun-de1，2， FAN　Gong-duan1
（1. College of Civil Engineering， Fuzhou University， Fuzhou 350108， China； 2. School of Environment， Harbin Institute of Technology， Harbin 150090， China）
关键词:
雨水调蓄设施;  多目标优化设计;  SWMM;  进水调度;  内涝控制
Keywords:
rainwater storage facility;  multi-objective optimization design;  SWMM;  inflow regulation;  waterlogging control
摘要:
针对目前雨水调蓄设施设计中缺乏与该设施实际运行时进水调度的整合分析，导致雨水调蓄设施的作用在设计方案的模拟中无法被充分体现的问题，以内涝溢流总量、造价与性价比作为优化目标，以雨水调蓄设施的设计参数与调度参数作为决策变量，应用多目标优化算法驱动雨洪管理模型（SWMM）进行寻优。结合实际案例采用awGA（自适应权重遗传算法）、NSGA-Ⅱ（第二代非支配排序遗传算法）与NSGA-Ⅲ（第三代非支配排序遗传算法）分别进行了测试，分析了各种算法对雨水调蓄设施多目标优化问题的适应性。对比测试表明，融合进水调度控制的多目标优化方法能够充分体现大中型雨水调蓄设施通过灵活调度缓解区域内涝的潜力。另外，所采用的性价比函数能够迅速识别出效益突出的方案。
Abstract:
At present, the design of rainwater storage facilities lacks integrated analysis of inflow regulation during actual operation, leading to the role of rainwater storage facilities cannot be fully reflected in the simulation of the design scheme. The total overflow, cost and cost performance were selected as the optimization objectives, the design parameters and scheduling parameters of rainwater storage facilities were regarded as the decision variables, and the multi-objective optimization algorithm was applied to drive the SWMM model to determine the best design scheme. Combined with actual cases, awGA (adaptive weight genetic algorithm), NSGA-Ⅱ (non-dominated sorting genetic algorithm Ⅱ) and NSGA-Ⅲ (non-dominated sorting genetic algorithm Ⅲ) were tested respectively, and the adaptability of each algorithm for multi-objective optimization of rainwater storage facilities was analyzed. The comparison test showed that the multi-objective optimization method integrating inflow regulation could fully reflect the potential of large and medium?sized rainwater storage facilities to alleviate regional waterlogging situation through flexible regulation. In addition, the established cost performance function could quickly identify the scheme with outstanding benefits.

相似文献/References:

[1]李俊德,范功端,邹建勇.基于差分进化算法的雨水调蓄设施优化调度研究[J].中国给水排水,2021,37(21):119.
　LI Jun-de,FAN Gong-duan,ZOU Jian-yong.Optimal Scheduling of Rainwater Storage Facilities Based on Differential Evolution Algorithm[J].China Water & Wastewater,2021,37(9):119.
[2]程俊,何帅,杨涛.削峰型调蓄设施有效容积计算方法研究[J].中国给水排水,2023,39(2):63.
　CHENG Jun,HE Shuai,YANGTao.Research on a Calculation Method of Effective Volume of Peak Flow Regulation and Storage Facilities[J].China Water & Wastewater,2023,39(9):63.

更新日期/Last Update: 2022-05-01