Novel Methods with Fuzzy Logic and ANFIS Controller Based SVC for Damping Sub-Synchronous Resonance and Low-Frequency Power Oscillation
عنوان مقاله: Novel Methods with Fuzzy Logic and ANFIS Controller Based SVC for Damping Sub-Synchronous Resonance and Low-Frequency Power Oscillation
شناسه ملی مقاله: ICEE20_353
منتشر شده در بیستمین کنفرانس مهندسی برق ایران در سال 1391
شناسه ملی مقاله: ICEE20_353
منتشر شده در بیستمین کنفرانس مهندسی برق ایران در سال 1391
مشخصات نویسندگان مقاله:
Akbar Lak - Engineering Department of Urmia, Urmia, Iran
Daryoush Nazarpour
Hasan Ghahramani
خلاصه مقاله:
Akbar Lak - Engineering Department of Urmia, Urmia, Iran
Daryoush Nazarpour
Hasan Ghahramani
A long transmission line needs controllable series as well as shunt compensation for power flow control and voltage regulation. In this paper, series fixed capacitive compensationand shunt compensation provided by a Static VAR Compensator (SVC) installed at the transmission line are considered. It ispossible to damp Sub-Synchronous Resonance (SSR) caused by series capacitors with the help of an auxiliary SSR damping controller on SVC. In this work, two novel control methods fordamping SSR is added to the SVC main control in order to demonstrate the SSR damping capability of SVC. The controlmethods are presented, namely: Fuzzy Logic Damping Controller (FLDC) and Adaptive Neuro-Fuzzy Inference System(ANFIS) controller. The ANFIS constructions were trained utilizing the generated database by the FLC of the SVC. The simulation results prove that ANFIS controller is found to berobust to fault type and change in operating situations. The Fast Fourier Transform (FFT) is carried out in order to evaluate theeffect of TCSC based ANFIS controller in damping SSR and LFO. The study system was adopted from the IEEE SecondBenchmark Model (ISBM) by installing the SVC. The MATLAB/Simulink software program was used to verify the effectiveness of each control method
کلمات کلیدی: Sub-Synchronous Resonance (SSR), Static VAR Compensator (SVC), Fuzzy Logic Controller(FLC), Adaptive Neuro-Fuzzy Inference System (ANFIS), Fast Fourier Transform (FFT
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/154565/