DocumentCode
2008483
Title
The study on improved genetic algorithm´s application in under voltage load shedding
Author
Qiang, Wang ; Zhongli, Zhan
Author_Institution
Comput. Sci. Dept., Jilin Technol. Coll. of Electron. Inf., Jilin, China
Volume
3
fYear
2010
fDate
17-18 July 2010
Firstpage
496
Lastpage
498
Abstract
Under voltage load shedding is an important method of emergency voltage control, according to the realization it can be divided into two ways, centralized and distributed. This paper proposed a centralized algorithm based on the improved genetic algorithm. First, an optimization model for the purpose of stabilizing voltage was established, and genetic algorithm is used to solve this problem, the genetic algorithm was improved by the means of real number encoding. Simulation results show that this algorithm can stabilize voltage with a small cost.
Keywords
encoding; genetic algorithms; load shedding; voltage control; emergency voltage control; genetic algorithm; optimization; real number encoding; stabilizing voltage; voltage load shedding; centralized; genetic algorithm; real number encoding; under voltage load shedding;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7387-8
Type
conf
DOI
10.1109/ESIAT.2010.5568350
Filename
5568350
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