Power system dynamic load modeling using adaptive-network-based fuzzy inference system

Author

Oonsivilai, Anant ; El-Hawary, M.E.

Author_Institution

Dept. of Electr. & Comput. Eng., Dalhousie Univ., Halifax, NS, Canada

Volume

3

fYear

1999

fDate

9-12 May 1999

Firstpage

1217

Abstract

The representation of the dynamic characteristics of power system loads is widely used for obtaining power system operations, controls and stability limits and becomes a critical factor in power system dynamic performance. In this paper, the performance of power system dynamic load modeling using adaptive-network-base fuzzy inference system (ANFIS) is compared with traditional architectures. The ANFIS models can represent nonlinear systems performance accurately, and they are promising for dynamic load models. Computer simulations show excellent results using this approach for power system dynamics.

Keywords

fuzzy systems; inference mechanisms; power system simulation; adaptive-network-based fuzzy inference system; computer simulations; dynamic load models; intelligent system; nonlinear systems performance; power system controls; power system dynamic load modeling; power system loads; power system operations; power system stability; Computer architecture; Control systems; Fuzzy systems; Load modeling; Nonlinear dynamical systems; Nonlinear systems; Power system control; Power system dynamics; Power system modeling; Power system stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1999 IEEE Canadian Conference on

Conference_Location

Edmonton, Alberta, Canada

ISSN

0840-7789

Print_ISBN

0-7803-5579-2

Type

conf

DOI

10.1109/CCECE.1999.804864

Filename

804864