Title :
A new heuristic evolutionary programming and its application in solution of the optimal power flow. I. Primary principle of heuristic evolutionary programming
Author :
Shi, Libao ; Xu, Guoyu ; Hua, Zhiming
Author_Institution :
Dept. of Electr. Eng., Chongqing Univ., China
Abstract :
A new global optimization method called heuristic evolutionary programming (HEP) is developed in this paper, based on the combination of the general evolutionary programming (GEP) and the classical gradient search techniques. This algorithm includes an important procedure called searching region change reduction. The developed algorithm can effectively reduce the CPU time with the global optimums being obtained. Its efficiency is higher than that of GEP. Numerical results demonstrate the validity and effectiveness
Keywords :
evolutionary computation; gradient methods; load flow; CPU time reduction; gradient search techniques; heuristic evolutionary programming; optimal power flow; searching region change reduction; Constraint optimization; Dynamic programming; Genetic programming; Linear programming; Load flow; Optimization methods; Power engineering and energy; Power system dynamics; Testing; Vectors;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729068
