Evolutionary programming based optimal power flow algorithm

Author

Yuryevich, Jason ; Wong, Kit Po

Author_Institution

Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia

Volume

14

Issue

4

fYear

1999

fDate

11/1/1999 12:00:00 AM

Firstpage

1245

Lastpage

1250

Abstract

This paper develops an efficient and reliable evolutionary programming algorithm for solving the optimal power flow (OPF) problem. The class of curves used to describe generator performance does not limit the algorithm and the algorithm is also less sensitive to starting points. To improve the speed of convergence of the algorithm as well as its ability to handle larger systems, the algorithm is enhanced with gradient information. In the paper, the main elements of the evolutionary programming based OPF algorithm are presented. The algorithm is then demonstrated on the IEEE 30 bus test system

Keywords

control system analysis computing; control system synthesis; evolutionary computation; load flow control; optimal control; power system analysis computing; power system control; IEEE 30 bus test system; computer simulation; control design; control simulation; convergence speed; evolutionary programming; generator performance; gradient information; optimal power flow algorithm; starting points; Acceleration; Constraint optimization; Costs; Genetic programming; Load flow; Power system analysis computing; Power system economics; Power system reliability; Power systems; System testing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.801880

Filename

801880