Computational intelligence techniques applied to real time and off-line power system stability assessment with distributed generation -A review

Author

Olulope, P.K. ; Folly, K.A. ; Chowdhury, S. ; Chowdhury, S.P.

Author_Institution

Electr. Eng. Dept., Univ. of Cape Town, Cape Town, South Africa

fYear

2010

fDate

20-23 Dec. 2010

Firstpage

1

Lastpage

10

Abstract

With fast expansion of capacity in electric power systems in recent years, there is a growing need to deliver power to customers at acceptable voltage and frequency limits. Under different contingencies the stability of the system need to be reassessed and controlled. This can better be done in real time. This paper presents a review on real and off-line stability assessment of power system using computational intelligence (CI) techniques.

Keywords

distributed power generation; power system transient stability; computational intelligence technique; distributed generation; off-line power system stability; real time power system stability; Africa; Artificial intelligence; Cities and towns; Continuous wavelet transforms; Gallium; Irrigation; Conventional techniques; Off-line; Phasor measurement unit; computational intelligence; distributed generation; real time; small signal stability; transient stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics, Drives and Energy Systems (PEDES) & 2010 Power India, 2010 Joint International Conference on

Conference_Location

New Delhi

Print_ISBN

978-1-4244-7782-1

Type

conf

DOI

10.1109/PEDES.2010.5712421

Filename

5712421