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Adaptive self-tuning PID fuzzy sliding mode control for mitigating power system oscillations.

Authors :
Tavakoli, Ali Reza
Seifi, Ali Reza
Source :
Neurocomputing. Dec2016, Vol. 218, p146-153. 8p.
Publication Year :
2016

Abstract

In this paper, an adaptive self-tuning PID fuzzy sliding mode controller (ASPFSM) with a PID switching surface is proposed to damp power system oscillations. To overcome the problems in the design of a sliding-mode controller, which are the supposition of known uncertainty bounds and the chattering phenomenon in the control effort, an adaptive self-tuning PID based Lyapunov theory is studied. An adaption law is obtained from the Lyapunov stability theory, so the stability of the closed-loop system can be guaranteed. Then, the effectiveness of the ASPFSM is studied under different situations of a two-area four-machine power system. The simulation results confirm that performance of ASPFSM is much better than conventional power system stabilizer (CPSS). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
218
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
119175075
Full Text :
https://doi.org/10.1016/j.neucom.2016.08.061