Imperialist competitive algorithm based optimal power flow

Author

Ranjbar, Hossein ; Zarei, Seyed Fariborz ; Hosseini, Seyed Hossein

Author_Institution

Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran

fYear

2014

fDate

20-22 May 2014

Firstpage

746

Lastpage

750

Abstract

In this paper, a new approach based on Imperialist Competitive Algorithm (ICA) optimization is proposed for solving the optimal power flow (OPF) problem. ICA is one of the evolutionary optimization algorithms which are based on colonialism as a social-political phenomenon. The objective of the OPF problem is to minimize the system total generation cost with regard to some inequality and equality constraints such as the units´ active and reactive power output limits, generation/demand balance, power flow limit of lines, voltage on busses, and transformer taps. To validate the proposed algorithm, it is applied to the IEEE 30-buses system and results are compared with those of genetic algorithm and particle swarm optimization and the effectiveness of the proposed algorithm is justified.

Keywords

IEEE standards; competitive algorithms; cost reduction; genetic algorithms; load flow; particle swarm optimisation; power generation economics; ICA optimization; IEEE 30-bus system; OPF problem; colonialism; evolutionary optimization algorithm; generation cost minimization; genetic algorithm; imperialist competitive algorithm; optimal power flow; particle swarm optimization; social-political phenomenon; Algorithm design and analysis; Generators; Genetic algorithms; Linear programming; Load flow; Optimization; Imperialist competitive algorithm; intelligent algorithm; optimal power flow;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering (ICEE), 2014 22nd Iranian Conference on

Conference_Location

Tehran

Type

conf

DOI

10.1109/IranianCEE.2014.6999636

Filename

6999636