ABSTRACT
As the demand for electrical energy is increasing rapidly and will continue to do so in future, series-compensated electrical networks is as such considered an idealized solution to ensure stable transmission of bulk power. This may lead to subsynchronous resonance (SSR) issue, and it can be mitigated by flexible alternating current transmission system (FACTS) devices. The proper FACTS device and controlling methodology are needed in a series-compensated electrical power line. This chapter emphasizes the occurrence of SSR by eigenvalue analysis and the reduction of SSR by thyristor-controlled series capacitor (TCSC) and static synchronous series compensator (SSSC) using adaptive neuro-fuzzy inference strategy (ANFIS) controller. ANFIS controller takes full advantage of both neural network controller and fuzzy logic controller. An IEEE-modified SBM system has been taken as the study system. ANFIS-based SSSC in damping SSR oscillation and rotor speed deviation is compared with ANFIS-based TCSC controllers under different series compensation levels (K) and operating conditions. Based on the simulation results, ANFIS-controlled SSSC provides excellent superior oscillations damping capability compared to ANFIS-controlled TCSC.
