Study on Optimal Scheduling Methods of Urban Drainage Pumping Stations Based on Orthogonal Test

被引:6
|
作者
Liu, Jingsen [1 ]
Cheng, Jilin [1 ]
Gong, Yi [1 ]
机构
[1] Yangzhou Univ, Coll Hydraul Sci & Engn, Yangzhou City 225009, Jiangsu, Peoples R China
来源
关键词
Orthogonal Test; Pumping Station; Storm Drainage; Optimization Method;
D O I
10.4028/www.scientific.net/AMM.373-375.2169
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An optimal scheduling method of urban pumping stations was proposed to cut down the energy cost.Using this method, pumping stations in the drainage area were divided into groups,and the scheduling period was divided into several computation periods,and several operation schemes were fixed in each group. In each computation period, groups were regarded as test objects,and operation schemes as test levels, and scientific tests were carried out with the help of orthogonal test table. Choosing the ratio of drainage volume and power consumption as the objective function, the best theoretical operation scheme should be found out through the orthogonal analysis.Using the unsteady flow model to calculate each river water level, and if each river water level was within the allowable variation amplitude, then the scheme was optimal and feasible; otherwise, adjust the test level according to the main-to-secondary sequence to obtain the optimal operation scheme. Taking 20-year frequency storm in one region of Shanghai city as a study case, total electric power consumption could be reduced more than 1/4 with the optimal scheduling method compared with the traditional one.
引用
收藏
页码:2169 / 2174
页数:6
相关论文
共 50 条
  • [41] Optimal scheduling of the renewal of pipes in a system of urban water supply: Case study
    Alonso, Carlos
    Perez, Rafael
    Diaz, Jose L.
    Delgado, Xitlali
    ENVIRONMENTAL HYDRAULICS: THEORETICAL, EXPERIMENTAL AND COMPUTATIONAL SOLUTIONS, 2010, : 345 - 348
  • [42] Urban Drainage Network Scheduling Strategy Based on Dynamic Regulation: Optimization Model and Theoretical Research
    Fei, Xiaoming
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 37 (02): : 1293 - 1309
  • [43] Influence of multiple structural parameters on interior ballistics based on orthogonal test methods
    Hu, Chao-bin
    Zhang, Xiao-bing
    DEFENCE TECHNOLOGY, 2019, 15 (05): : 690 - 697
  • [44] Influence of multiple structural parameters on interior ballistics based on orthogonal test methods
    Chao-bin Hu
    Xiao-bing Zhang
    Defence Technology, 2019, 15 (05) : 690 - 697
  • [45] A Hybrid Cultural Algorithm Based on Clonal Selection Principle for Optimal Generation Scheduling of Cascaded Hydropower Stations
    Qin, Hui
    Li, Qingqing
    Hong, Xiaofeng
    PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC), 2013, : 124 - 130
  • [46] Decentralized collaborative optimal scheduling for EV charging stations based on multi-agent reinforcement learning
    Li, Hang
    Han, Bei
    Li, Guojie
    Wang, Keyou
    Xu, Jin
    Khan, Muhammad Waseem
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (06) : 1172 - 1183
  • [47] Study on the Proportion of Conglomerate Similar Materials Based on the Orthogonal Test
    Yang, Mengze
    Yang, Yu
    Zhao, Bo
    SHOCK AND VIBRATION, 2021, 2021
  • [48] Influence of alternating electric field on crystallization of tunnel drainage pipes-based on indoor orthogonal test
    Zhang, Jiarui
    Wang, Bo
    Liu, Shiyang
    Zhong, Xinghong
    Chen, Huiqiang
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2022, 22 (03) : 737 - 747
  • [49] The Research of Test Case Generation and Its Optimization Methods Based on Orthogonal Test Method and Greedy Algorithm
    Tian, Pei
    Leng, Huaijing
    Yang, Shaohua
    Wang, Yufang
    2009 INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS, VOL 1, PROCEEDINGS, 2009, : 474 - 477
  • [50] Study on the Impact of Urban Morphologies on Urban Canopy Heat Islands Based on Relocated Meteorological Stations
    Shi, Tao
    Yang, Yuanjian
    Qi, Ping
    REMOTE SENSING, 2024, 16 (09)