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
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;
Conference_Titel :
Industrial Informatics, 2006 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9700-2
Electronic_ISBN :
0-7803-9701-0
DOI :
10.1109/INDIN.2006.275759
