Robust Power System Stabilization Using T-S Fuzzy Control

Power system stabilizers are usually derived based on simplified design models. The design models exhibit modeling uncertainties due to ignoring fast dynamics, change of operating conditions, and network disturbances. It is proposed here to use a continuous-time least-squares algorithm to estimate t...

Full description

Saved in:
Bibliographic Details
Main Authors: Alwahaibi, Sultan, Elshafei, Abdel Latif
Format: Conference Proceeding
Language:English
Subjects:
fuzzy control
Fuzzy systems
Generators
least-squares approximation
Mathematical model
power system control
Power system dynamics
Power system stability
robust control
Stability analysis
Uncertainty
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Power system stabilizers are usually derived based on simplified design models. The design models exhibit modeling uncertainties due to ignoring fast dynamics, change of operating conditions, and network disturbances. It is proposed here to use a continuous-time least-squares algorithm to estimate the model parameters and the associated uncertainties at each operating point of interest. Hence, a local robust stabilizer is designed using Kharitonov theorem and a simple root-locus procedure. The local controllers are blended together using a Takagi-Sugeno (T-S) fuzzy system. The result is a robust controller that can cope with different operating conditions. The performance of the proposed stabilizer is demonstrated using a simulation model of a two-area four-machine power system.
ISSN:1944-9933
DOI:10.1109/PESGM.2018.8586258