Navid Khorrami - Science and Research Branch of Islamic Azad University of broujerd
Mohammad Reza Alizadeh Pahlavani - Malek Ashtar University of Technology
Peyman Naderi - Shahid Rajaee Teacher training University

In this manuscript a new neural network controller applied for damping the sub-synchronous resonance (SSR) originated from using a gate-controlled series capacitor(GCSC) in series compensation of a transmission is analyzed. The lowest-cost configuration of the GCSC is just discussed inthis research. In addition, this method has the capability of damping the low-frequency power oscillations (LFPO). It is shown that the GCSC can damp both the SSR and LFPO usingthe neural networks methodology. In this study, the IEEE First Benchmark Model including a GCSC is employed and thesoftware used for the simulation is MATLAB. A good comparison is done between the proposed methodology and theprevious control procedures. The priority index of the proposedmethodology is reducing the damping time in accordance with the other references

Flexible AC transmission systems (FACTS), Gate-controlled series capacitor, Low-frequency power oscillation, Sub-synchronous resonance (SSR), IEEE First Benchmark Model (FBM), Neural network