Constrained optimal power flow using Craziness Based Particle Swarm Optimization considering valve point loading and prohibited operating zone

Author

Roy, P.K. ; Ghoshal, S.P. ; Thakur, S.S.

Author_Institution

Dept. of Electr. Eng., Dr. B. C. Roy Eng. Coll., Durgapur, India

fYear

2009

fDate

27-29 Dec. 2009

Firstpage

1

Lastpage

6

Abstract

This paper presents Craziness Based Particle Swarm Optimization (CRPSO) technique for solving constrained optimal power flow problems in power systems, considering nonlinearities like valve point loading and prohibited operating zones of generators. In this paper, the proposed algorithm has been tested in 26-bus system under various simulated conditions and its solutions are compared to those of simple genetic algorithm (SGA) and real coded mixed integer genetic algorithm (MIGA). The simulation results show that the proposed algorithm is a very promising evolutionary optimization technique for the global optimization of constrained optimal power flow problem.

Keywords

electric generators; genetic algorithms; particle swarm optimisation; power system planning; constrained optimal power flow; craziness based particle swarm optimization; generators; mixed integer genetic algorithm; power systems; prohibited operating zone; simple genetic algorithm; valve point loading; Constraint optimization; Genetic algorithms; Genetic programming; Load flow; Particle swarm optimization; Power system planning; Power system security; Power system simulation; Power systems; Valves; Evolutionary Programming; Genetic Algorithm; Optimal Power Flow; Particle Swarm Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Systems, 2009. ICPS '09. International Conference on

Conference_Location

Kharagpur

Print_ISBN

978-1-4244-4330-7

Electronic_ISBN

978-1-4244-4331-4

Type

conf

DOI

10.1109/ICPWS.2009.5442653

Filename

5442653