Research on Dispatching Algorithm of Valves and Hydrants under Sudden Drinking Water Pollution
[1]Zou Luyan,Xuesong,Hu Chengyu.Research on Dispatching Algorithm of Valves and Hydrants under Sudden Drinking Water Pollution[J].Journal of Zhengzhou University (Engineering Science),2018,39(03):93-96.[doi:10.13705/j.issn.1671-6833.2018.03.006]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39卷
Number of periods:
2018 03
Page number:
93-96
Column:
Public date:
2018-05-10
- Title:
- Research on Dispatching Algorithm of Valves and Hydrants under Sudden Drinking Water Pollution
- CLC:
- -
- DOI:
- 10.13705/j.issn.1671-6833.2018.03.006
- Abstract:
-
In recent years, drinking water pollution event have occurred, and it’s seriously harmful to social stability and security. It is very important to make a prompt and accurate emergency response to the pollution event and develop the optimal dispatching strategy when the pollution occurs so that provide the decision makers with suggestion.In this paper, the main object is how to optimize the hydrants and valves scheduling to bring the least assumption of pollutants and scheduling cost, the amount of pollutants absorbed, however, is contrary to the cost of scheduling. Therefore, this paper first develops a two-objective optimization model, and then uses NSGAII to solve the problem. The simulation results show the effectiveness of the proposed multi-objective optimization model and scheduling algorithm.
In this paper, this study mainly focued on how to operate hydrants and valves to reduce the impact and operation cost under sudden drinking pollution. However, the two goals of impact and operation cost were in conflict. Therefore, a two-objective optimization model was proposed, one goal was to minimize the consumed contaminated water, the other is to minimize the operation cost, and then a real water distribution system in a town of USA was employed and Pareto solutions were given by NSGA-II, at the same time, an comprehensive analysis of different factors was condcouted. The simulation results showed the effectiveness of the proposed multi-objecttive optimization model and scheduling algorithm.
- References:
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Last Update:
2018-05-03