Title :
Optimal Voltage and Reactive Power Control Based on Multi-Objective Genetic Algorithm
Author :
Dehkordi, Behzad Mirzaeian
Author_Institution :
Dept. of Electron. Eng., Isfahan Univ.
Abstract :
In this paper, a novel multi-objective optimization method based on genetic algorithm (MGA) is proposed. MGA is applied to optimize the three objective functions. The objective functions are designed for reactive power optimization control, such as, loss and/or invest cost minimization. The simulation results of the new method for IEEE-30 bus system are compared with the results obtained by the single weighted objective method, which shows better performance.
Keywords :
genetic algorithms; reactive power control; voltage control; IEEE-30 bus system; MGA; multiobjective genetic algorithm; optimal voltage control; reactive power optimization control; Control systems; Design optimization; Genetic algorithms; Hybrid power systems; Optimization methods; Power generation; Power system control; Reactive power control; Stochastic processes; Voltage control; Genetic Algorithm; Optimization; Reactive Power Control;
Conference_Titel :
Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on
Conference_Location :
New Delhi
Print_ISBN :
0-7803-9772-X
Electronic_ISBN :
0-7803-9772-X
DOI :
10.1109/PEDES.2006.344226
