Resilience Indexes for Water Distribution Network Design: A Performance Analysis Under Demand Uncertainty

被引:59
作者
Banos, Raul [1 ]
Reca, Juan [2 ]
Martinez, Juan [2 ]
Gil, Consolacion [1 ]
Marquez, Antonio L. [1 ]
机构
[1] Univ Almeria, Dept Comp Architecture & Elect, Almeria 04120, Spain
[2] Univ Almeria, Dept Rural Engn, Almeria 04120, Spain
关键词
Water distribution systems; Multi-objective optimization; Cost; Resilience indexes; Demand uncertainty; MULTIOBJECTIVE OPTIMIZATION;
D O I
10.1007/s11269-011-9812-3
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Traditionally, the optimal design of water distrubution networks has been dealt with using single-objective constrained approaches, where the aim is to minimize the network investment cost while maintaining minimum pressure head constraints at all nodes. However, in the last decade some authors have proposed multi-objective approaches which optimize other objectives than network investment cost. In most cases, these objectives have been formulated using the concept of resilience index, which mimics the design aim of providing excess head above the minimum allowable head at the nodes and of designing reliable loops with practicable pipe diameters. Although several authors have proposed different resilience indexes for this pupose, to date there is no empirical study that analyzes the advantages and disadvantages of these proposals. This paper evaluates the performance of a well-known multi-objective evolutionary algorithm, the Strength Pareto Evolutionary Algorithm 2, using three different resilience indexes. The results obtained in two water supply networks under a large number of simulated over-demand scenarios show the advantages and disadvantages of these measures.
引用
收藏
页码:2351 / 2366
页数:16
相关论文
共 19 条
[1]   DESIGN OF OPTIMAL WATER DISTRIBUTION-SYSTEMS [J].
ALPEROVITS, E ;
SHAMIR, U .
WATER RESOURCES RESEARCH, 1977, 13 (06) :885-900
[2]  
[Anonymous], 2001, P 5 C EVOLUTIONARY M
[3]  
[Anonymous], 2000, EPANET 2 USERS MANUA
[4]   Implementation of scatter search for multi-objective optimization: a comparative study [J].
Banos, R. ;
Gil, C. ;
Reca, J. ;
Martinez, J. .
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2009, 42 (03) :421-441
[5]   Hybrid Genetic Algorithm and Linear Programming Method for Least-Cost Design of Water Distribution Systems [J].
Cisty, Milan .
WATER RESOURCES MANAGEMENT, 2010, 24 (01) :1-24
[6]   Trade-off between total cost and reliability for Anytown water distribution network [J].
Farmani, R ;
Walters, GA ;
Savic, DA .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2005, 131 (03) :161-171
[7]   Evolutionary multi-objective optimization in water distribution network design [J].
Farmani, R ;
Savic, DA ;
Walters, GA .
ENGINEERING OPTIMIZATION, 2005, 37 (02) :167-183
[8]   A 2-PHASE DECOMPOSITION METHOD FOR OPTIMAL-DESIGN OF LOOPED WATER DISTRIBUTION NETWORKS [J].
FUJIWARA, O ;
KHANG, DB .
WATER RESOURCES RESEARCH, 1990, 26 (04) :539-549
[9]  
Goldberg DE., 1989, GENETIC ALGORITHMS S, V13
[10]  
Gupta I., 1993, Environmental Software, V8, P101, DOI 10.1016/0266-9838(93)90020-I