A comparative study on performance of metaheuristics optimization methods for optimal var sizing and allocation

Author

Keypour, Reza ; Sharifzadeh, Hosein

Author_Institution

Dept. of Electr. Eng., Semnan Univ., Semnan, Iran

fYear

2010

Firstpage

777

Lastpage

782

Abstract

The key of reactive power planning (RPP), or Var planning, is the optimal allocation of reactive power sources considering location and size. In this paper, three metaheuristics optimization algorithms and their modified version are compared for the optimal var sizing and allocation. They include RCGA, DE, HDEPSO, PSO and IPSO. Each of these algorithms are introduced and are applied on RPP problem for the IEEE 14-bus and IEEE 30-bus test systems. Results are compared in the context of solution quality and computational speed.

Keywords

genetic algorithms; particle swarm optimisation; power system planning; reactive power; static VAr compensators; DE; HDEPSO; IEEE 14-bus test system; IEEE 30-bus test system; IPSO; RCGA; RPP; differential evolution; genetic algorithm; metaheuristic optimization methods; optimal var sizing; particle swarm optimization; reactive power planning; reactive power source optimal allocation; var planning; Capacitors; Mathematical model; Optimization; Particle swarm optimization; Planning; Reactive power; Search problems; Reactive power planning; differential evolution; genetic algorithm; metaheuristics Optimization Methods; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Technologies in Electrical and Electronics Engineering (SIBIRCON), 2010 IEEE Region 8 International Conference on

Conference_Location

Listvyanka

Print_ISBN

978-1-4244-7625-1

Type

conf

DOI

10.1109/SIBIRCON.2010.5555007

Filename

5555007