Title :
A genetic algorithm for the corrective control of voltage and reactive power
Author :
Malachi, Yair ; Singer, Sigmond
Author_Institution :
Israel Electr. Corp., Haifa, Israel
Abstract :
This paper presents an algorithm for the selection of corrective control actions for bus voltage and generator reactive power in a power system. A genetic algorithm (GA) using linear approximation of load flow equations and a heuristic selection of participating controls were combined in a search method for the minimum number of control actions. The method was successfully applied on a 220-bus model for several cases of disturbed load flow, and calculation time was proven to be small enough to allow real-time application of the algorithm. The GA was compared with a integer programming-based solution method and showed a considerably reduced calculation time.
Keywords :
approximation theory; genetic algorithms; integer programming; load flow; power system control; reactive power control; voltage control; corrective control; distributed load flow; genetic algorithm; heuristic selection; integer programming; linear approximation; load flow equations; reactive control; search method; voltage control; Control systems; Genetic algorithms; Linear approximation; Load flow; Power generation; Power system control; Power system modeling; Power systems; Reactive power control; Voltage control; Genetic algorithm (GA); reactive power control; voltage control;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.861958
