Particle swarm optimization applied in power system measurement-based load modeling

Author

Rodriguez-Garcia, Luis ; Perez-Londono, S. ; Mora-Florez, Juan

Author_Institution

Electr. Eng. Dept., Univ. Tecnol. de Pereira, Pereira, Colombia

fYear

2013

fDate

20-23 June 2013

Firstpage

2368

Lastpage

2375

Abstract

An application of particle swarm optimization algorithm for power system measurement-based load modeling is presented in this paper. Load modeling based on measurements is formulated as an optimization problem, which minimizes the difference between the measured and the simulated response of a model. A composite load model is used as model structure and particle swarm optimization algorithm is used for parameter estimation of the load model. A modification to particle swarm optimization is applied to improve its performance. Tests were carried out on a modified IEEE 14-bus test system. The results show the capabilities of composite load model to represent the load behavior after disturbances, and also the capabilities of particle swarm optimization for obtaining adequate estimations of load parameters.

Keywords

IEEE standards; minimisation; particle swarm optimisation; power system faults; power system measurement; power system parameter estimation; power system simulation; composite load parameter estimation model; minimization; modified IEEE 14-bus test system; particle swarm optimization algorithm; power system measurement; Atmospheric measurements; Load modeling; Particle measurements; Particle swarm optimization; Power measurement; Reactive power; Voltage measurement; evolutionary computation; load modeling; particle swarm optimization; time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation (CEC), 2013 IEEE Congress on

Conference_Location

Cancun

Print_ISBN

978-1-4799-0453-2

Electronic_ISBN

978-1-4799-0452-5

Type

conf

DOI

10.1109/CEC.2013.6557852

Filename

6557852