A novel hybrid approach with TLBO algorithm and fuzzy logic interface system for optimal design of SSSC controller

In this study, in order to design an effective controller, the static synchronous series compensator (SSSC) and Power System Stabilizer (PSS) are integrated. On the other hand, besides enhancing the transient constancy, a Teaching–Learning Based Optimization (TLBO) algorithm and Fuzzy Inference System (FIS) are implemented. The presented TLBO-FIS controller integrates the benefits of a fuzzy controller, instant response, and flexibility features of FIS. By considering and manipulating the produced database through the SSSC and PSS in the fuzzy controller, the structure of TLBO-FIS was trained. It is confirmed that the suggested SSSC and PSS controllers enhance the voltage profile of the network under severe disturbances. The achieved results approved that the suggested TLBO-FIS controller based on SSSC and PSS has higher competency in the detection of position, and it has different functions in different operating circumstances. In addition, using the obtained result from the simulation, the performance of SSSC is compared with the previous lead-lag controller under various disturbances, namely three-phase unbalanced faults and other unbalanced faults. Finally, the priority of the proposed approach to the comparison method is proved.