Title :
Application of Fuzzy Adaptive Genetic Algorithm in Reactive Power Compensation Optimization of Power Station
Author_Institution :
Dept. of Comput. Sci., Ezhou Univ., Ezhou, China
Abstract :
Power station reactive power compensation optimization model has been optimized based on fuzzy adaptive genetic algorithm. Through examples of computer simulation, the minimum compensation for reactive power compensation optimization of power station is searched effectively. The results show that it is accord with actual application, which indicates that it is feasible of adaptive genetic algorithm applying in agricultural engineering optimization design.
Keywords :
genetic algorithms; power stations; agricultural engineering optimization design; computer simulation; fuzzy adaptive genetic algorithm; power station; reactive power compensation optimization model; Genetic algorithms; Genetics; Investments; Optimization; Reactive power; Voltage control; Fuzzy adaptive genetic algorithm; Reactive power optimizationCOptimization design;
Conference_Titel :
Computer Science and Society (ISCCS), 2011 International Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4577-0644-8
DOI :
10.1109/ISCCS.2011.66
