NDLI: Mitigation of low frequency oscillation with STATCOM based fuzzy logic controller and adaptive neuro fuzzy inference system controller

Content Provider	IEEE Xplore Digital Library
Author	Torabi, S. Farid Hosseini, Hossein Boudaghi, Aref Farshbar, Hadi Mehri, Ali
Copyright Year	2012
Description	Author affiliation: Engineering Department of Urmia, Iran (Torabi, S. Farid; Hosseini, Hossein; Boudaghi, Aref; Farshbar, Hadi; Mehri, Ali)
Abstract	Low frequency oscillations (LFO) are a frequent harmful phenomenon which increase the risk of instability for the power system. They confine the steady-state power transfer limits, which therefore changes operational system economics and security. The statistic synchronous compensator (STATCOM) is one of the important FACTS devices that can be used for dynamic compensation of power systems to provide voltage support and stability improvement. In this paper, two novel control methods of STATCOM have been discussed and compared. The designed Fuzzy and Adaptive Neuro Fuzzy Inference System (ANFIS) are auxiliary controllers that can damp power oscillations efficiently. Advantages of Fuzzy and ANFIS control methods cause authors focus on comparative between them. Simulation results are useful due to choose the best STATCOM control methods. A four machines system has been used in order to study low frequency oscillation. The MATLAB/Simulink software program is used to verify the effectiveness of each control method.
Starting Page	1
Ending Page	6
File Size	305338
Page Count	6
File Format	PDF
ISBN	9781467314183
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Iranian Association of Elect
Subject Keyword	Fuzzy logic Damping Low frequency oscillations Rotors Power system stability Fuzzy logic controller (FLC) Automatic voltage control STATCOM Adaptive Neuro Fuzzy Inference System Oscillators
Content Type	Text
Resource Type	Article

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