A Hybrid Intelligent Control for DSCC Based Modular STATCOM

In this research, a modular multilevel converter-based M-STATCOM is investigated using an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller tuned with Social Sky Driver (SSD) for the enrichment of power quality and reactive power requirements during uncertainties. The suggested ANFIS controller has the benefits of a fuzzy system with the SSD algorithm's short response time and adaptability. The fuzzy controller of the STATCOM created a database that was used to train the ANFIS structures. It has been found that the proposed hybrid controller significantly enhances the system's voltage profile during severe disruptions. The findings demonstrate the proposed STATCOM-based ANFIS controller's resistance to problem localization and changes in operating circumstances. The findings demonstrate the proposed STATCOM-based ANFIS controller's robustness to faults and changes in operating circumstances. Additionally, the efficacy and reliability of the suggested approach for STATCOM are examined by comparing the simulation results with those from the standard STATCOM under three lines to ground fault.