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
Link To Document :
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