DocumentCode :
3111264
Title :
A Jumping Genes Scheme for Multi-objective Coordinated Voltage Control
Author :
Ma, H.M. ; Man, K.F. ; Hill, David J.
Author_Institution :
Electron. Eng. Dept., City Univ. of Hong Kong, Kowloon
fYear :
2006
fDate :
16-18 Aug. 2006
Firstpage :
195
Lastpage :
200
Abstract :
A new jumping genes evolutionary algorithm is proposed for searching the agreeable solution for retaining the voltage profile. On the basis of optimal coordinated voltage control structure, this scheme was testified using the New England 39-bus power system. The main feature of this optimization method is its ability to find the extreme non-dominated solutions that could fulfill the voltage control requirement even when the objective function are contradicted with each other.
Keywords :
evolutionary computation; optimal control; voltage control; 39-bus power system; coordinated voltage control; evolutionary algorithm; jumping genes scheme; optimal control; Capacitors; Communication system control; Control systems; Evolutionary computation; Power system control; Power system modeling; Power systems; Predictive control; Predictive models; Voltage control; Pareto front; coordinated voltage control; evolutionary algorithm; jumping genes; multi-objective optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics, 2006 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9700-2
Electronic_ISBN :
0-7803-9701-0
Type :
conf
DOI :
10.1109/INDIN.2006.275759
Filename :
4053386
Link To Document :
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