An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling

被引:106
作者
Bagirov, A. M. [1 ]
Barton, A. F. [1 ,2 ]
Mala-Jetmarova, H. [1 ]
Al Nuaimat, A. [1 ]
Ahmed, S. T. [1 ]
Sultanova, N. [1 ]
Yearwood, J. [1 ]
机构
[1] Univ Ballarat, Sch Sci Informat Technol & Engn, Ballarat, Vic 3353, Australia
[2] GWMWater, Horsham, Vic 3400, Australia
基金
澳大利亚研究理事会;
关键词
Derivative free optimization; Water distribution systems; Pump scheduling; EPANet; OPTIMAL OPERATION; MULTIQUALITY NETWORKS; OPTIMIZATION;
D O I
10.1016/j.mcm.2012.09.015
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The operation of a water distribution system is a complex task which involves scheduling of pumps, regulating water levels of storages, and providing satisfactory water quality to customers at required flow and pressure. Pump scheduling is one of the most important tasks of the operation of a water distribution system as it represents the major part of its operating costs. In this paper, a novel approach for modeling of explicit pump scheduling to minimize energy consumption by pumps is introduced which uses the pump start/end run times as continuous variables, and binary integer variables to describe the pump status at the beginning of the scheduling period. This is different from other approaches where binary integer variables for each hour are typically used, which is considered very impractical from an operational perspective. The problem is formulated as a mixed integer nonlinear programming problem, and a new algorithm is developed for its solution. This algorithm is based on the combination of the grid search with the Hooke-Jeeves pattern search method. The performance of the algorithm is evaluated using literature test problems applying the hydraulic simulation model EPANet. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:873 / 886
页数:14
相关论文
共 23 条
[1]  
[Anonymous], P INT C EV METH DES
[2]  
[Anonymous], 2009, PROC WORLD ENV WATER, DOI DOI 10.1061/41036(342)38
[3]  
Biscos C, 2003, WATER SA, V29, P393
[4]   Optimal operation of multi-quality water supply systems-II: The Q-H model [J].
Cohen, D ;
Shamir, U ;
Sinai, G .
ENGINEERING OPTIMIZATION, 2000, 32 (06) :687-719
[5]   An improved genetic algorithm for pipe network optimization [J].
Dandy, GC ;
Simpson, AR ;
Murphy, LJ .
WATER RESOURCES RESEARCH, 1996, 32 (02) :449-458
[6]   Application of the coupled model to the Somme river basin [J].
Korkmaz, Serdar ;
Ledoux, Emmanuel ;
Onder, Halil .
JOURNAL OF HYDROLOGY, 2009, 366 (1-4) :21-34
[7]  
Kropat E, 2010, APPL ALGORITHMS B, V17, P639
[8]   OPTIMAL PUMP OPERATIONS CONSIDERING PUMP SWITCHES [J].
LANSEY, KE ;
AWUMAH, K .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1994, 120 (01) :17-35
[9]   Ant colony optimization for optimal control of pumps in water distribution networks [J].
Lopez-Ibanez, Manuel ;
Prasad, T. Devi ;
Paechter, Ben .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2008, 134 (04) :337-346
[10]   State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management [J].
Nicklow, John ;
Reed, Patrick ;
Savic, Dragan ;
Dessalegne, Tibebe ;
Harrell, Laura ;
Chan-Hilton, Amy ;
Karamouz, Mohammad ;
Minsker, Barbara ;
Ostfeld, Avi ;
Singh, Abhishek ;
Zechman, Emily .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2010, 136 (04) :412-432