Using Multiobjective Optimization to Find Optimal Operating Rules for Short-Term Planning of Water Grids

被引:7
作者
Ashbolt, Stephanie C. [1 ]
Maheepala, Shiroma [1 ]
Perera, B. J. C. [1 ]
机构
[1] Victoria Univ, Inst Sustainabil & Innovat, Coll Engn & Sci, Footscray, Vic 8001, Australia
关键词
Multiobjective optimization; Operational planning; Short-term planning; Simulation; Urban water management; Water grid; Water supply planning; GENETIC ALGORITHM; RESOURCES; FRAMEWORK; SYSTEM;
D O I
10.1061/(ASCE)WR.1943-5452.0000675
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Water grids are emerging as a means to address water scarcity in urban areas. These water grids are more complex than traditional supply systems, bringing new challenges to water-grid management. This paper seeks to address these challenges by demonstrating the capability of multiobjective optimization to aid in short-term operational planning for water grids. A framework for applying multiobjective optimization to short-term operational planning is demonstrated for a case study based on the South East Queensland Water Grid in Australia. The aim of the case study application is to find short-term (1year) operating rules that maximize water security, minimize operational cost, and minimize spills from reservoirs. The results of the optimization process are a number of operating options, comprising sets of operating rules that perform optimally in terms of the objectives. The range of operating rules and objective performance found in the optimization process allows the decision-maker to explore the trade-offs in decision-making and to choose a set of operating rules based on their preferences on the management objectives.
引用
收藏
页数:12
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