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

Volume

1

fYear

1998

fDate

18-21 Aug 1998

Firstpage

762

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4754-4

Type

conf

DOI

10.1109/ICPST.1998.729068

Filename

729068