Title :
Application of evolutionary programming to optimal reactive power dispatch
Author :
Ma, J.T. ; Wu, Q.H.
Author_Institution :
Dept. of Math. Sci., Loughborough Univ. of Technol., UK
Abstract :
This paper is concerned with application of evolutionary programming to optimal reactive power dispatch and voltage control of power systems. Several techniques have been developed to make the EP suitable to the practical optimal problems of large scale systems. Simulation results, compared with those obtained by using a conventional gradient-based optimization method, are presented to show the potential for applications of the proposed method to power system economical and secure operations
Keywords :
digital simulation; genetic algorithms; large-scale systems; numerical analysis; optimisation; power system computer control; economical; evolutionary programming; gradient-based optimization method; large scale systems; optimal reactive power dispatch; power systems; secure operations; simulation results; voltage control; Genetic programming; Large-scale systems; Optimization methods; Power system control; Power system economics; Power system simulation; Power systems; Reactive power; Reactive power control; Voltage control;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.349966
