Title :
A jumping gene GA for multi-objective voltage control
Author :
Ma, H.M. ; Man, K.F.
Abstract :
This paper presents a new flexible voltage control strategy. The optimal voltage control is considered a multi-objective problem. A set of feasible solutions saved as Pareto frontier is searched by the jumping gene EA. Based on the solution set, a multiple criteria decision making technique is used to select a suitable one which is applied as the finial on-line solution under different preferences. This strategy was tested on the New England 39 buses power system.
Keywords :
decision making; genetic algorithms; optimal control; power system control; voltage control; New England 39 buses power system; Pareto frontier solution; decision making technique; genetic algorithm; jumping gene GA; multiobjective voltage control; optimal control; Control systems; Decision making; Power generation economics; Power system control; Power system modeling; Power system simulation; Power system stability; Power systems; Voltage control; Voltage fluctuations; evolution algorithm; jumping gene; multiple criteria decision making; voltage control;
Conference_Titel :
Industrial Technology, 2008. ICIT 2008. IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1705-6
Electronic_ISBN :
978-1-4244-1706-3
DOI :
10.1109/ICIT.2008.4608408
