Comparison of Enhanced-PSO and Classical Optimization Methods: A Case Study for STATCOM Placement

Author

del Valle, Y. ; Harley, R.G. ; Venayagamoorthy, G.K.

Author_Institution

Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

2009

fDate

8-12 Nov. 2009

Firstpage

1

Lastpage

7

Abstract

This paper validates the effectiveness of an enhanced particle swarm optimizer (Enhanced-PSO) method in solving the problem of optimal allocation of FACTS devices in a power system. The performance of the Enhanced-PSO method is compared with classical optimization approaches using a simple but realistic case study of optimal allocation of STATCOM devices, considering steady state and economic criteria. This paper also discusses the concepts and details about the optimization process that tend to be overlooked in the literature since the selection of an optimization algorithm highly depends on them.

Keywords

flexible AC transmission systems; particle swarm optimisation; static VAr compensators; FACTS devices; STATCOM placement; classical optimization methods; flexible AC transmission systems; particle swarm optimisation; particle swarm optimizer; power system; static VAr compensators; Automatic voltage control; Computational modeling; Electrical capacitance tomography; Evolutionary computation; Integer linear programming; Load flow; Optimization methods; Particle swarm optimization; Power generation economics; Steady-state; Benders´ decomposition; FACTS devices; branch and bound; classical optimization; evolutionary computation techniques; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent System Applications to Power Systems, 2009. ISAP '09. 15th International Conference on

Conference_Location

Curitiba

Print_ISBN

978-1-4244-5097-8

Type

conf

DOI

10.1109/ISAP.2009.5352884

Filename

5352884