DocumentCode

755969

Title

Optimal power flow (OPF) is one of the main functions of power system operation and control. Solving such problems requires efficient optimization algorithms. This letter describes the development of an efficient tabu search (TS) algorithm for solving the optimal power flow problem. The developed algorithm was tested against a modified IEEE-RTS-24-bus test system. The results were compared with ones obtained from sequential quadratic programming (SQP) and evolutionary programming (EP) techniques. All approaches give more or less the same optimal solutions. Tabu search is the most efficient technique among these, since it consumes minimum computing time and provides accurate solutions.

Keywords

control system analysis computing; control system synthesis; load flow control; optimal control; power system analysis computing; power system control; search problems; IEEE-RTS-24-bus test system; computer simulation; computing time; control design; control simulation; optimal power flow; optimization algorithms; power system operation; solution accuracy; tabu search; Costs; Genetic programming; Load flow; Power engineering; Power generation; Power system stability; Quadratic programming; Reactive power; Switches; System testing;

fLanguage

English

Journal_Title

Power Engineering Review, IEEE

Publisher

ieee

ISSN

0272-1724

Type

jour

DOI

10.1109/MPER.2002.1005652

Filename

1005652

Contents

jour