Title :
Reactive power optimization using repeated genetic algorithm and data prediction
Author :
Jayatheertha, H.J. ; Yadagiri, J.
Author_Institution :
Dept. of EEE, GITAM Univ., Hyderabad, India
Abstract :
This paper gives 3000 solutions for reactive power optimization using repeated genetic algorithm. The objective function is minimization of voltage deviations at load buses and the control actions are changes in generator excitations, capacitor switching and tap changing transformers. IEEE30 bus system is the test data and simulated on MATLAB. New data prediction algorithm is given.
Keywords :
IEEE standards; genetic algorithms; power capacitors; power system control; power transformers; reactive power control; voltage control; IEEE30 bus system; MATLAB; capacitor switching; data prediction algorithm; generator excitations; load buses; minimization; power system operation; reactive power optimization; repeated genetic algorithm; tap changing transformers; test data; voltage control; voltage deviations; Capacitors; Equations; Generators; Genetic algorithms; Mathematical model; Reactive power; Sensitivity; Reactive power optimization; data prediction; repeated genetic algorithm;
Conference_Titel :
Advanced Computing Technologies (ICACT), 2013 15th International Conference on
Conference_Location :
Rajampet
Print_ISBN :
978-1-4673-2816-6
DOI :
10.1109/ICACT.2013.6710533
