DocumentCode :
2590992
Title :
Hydropower production schedule optimization using genetic algorithms
Author :
Vigu, C. ; Budai, L. ; Gota, D.I. ; Abrudean, M.
Author_Institution :
Autom. & Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear :
2012
fDate :
24-27 May 2012
Firstpage :
240
Lastpage :
243
Abstract :
In our modern society optimizing water usage is a topic of upmost importance because of the multiple benefits it provides. The two most important ones are: drinking water and energy. Cascaded dams have been constructed all over the world to provide the surrounding area with a steady supply of both. The cascaded dams are controlled via a SCADA (Supervisory Control and Data Acquisition) system. Genetic algorithms can be used to schedule the functioning of each hydro turbine in each power plant, after the final iteration we would have a solution that shows the optimal way to use the water. This can then be applied on the SCADA system and it would insure not just that the required grid energy was generated but also that the water levels in each dam are as close to the normal retention level as possible.
Keywords :
SCADA systems; dams; genetic algorithms; hydroelectric power stations; production control; SCADA system; cascaded dams; final iteration; genetic algorithms; grid energy; hydro turbine; hydropower production schedule optimization; power plant; supervisory control and data acquisition; water levels; water usage; Biological cells; Genetic algorithms; Genetics; Hydraulic turbines; Lakes; SCADA systems; SCADA; algorithms; genetic; hydro; turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Quality and Testing Robotics (AQTR), 2012 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4673-0701-7
Type :
conf
DOI :
10.1109/AQTR.2012.6237710
Filename :
6237710
Link To Document :
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