A hybrid DMO-RERNN based UPFC controller for transient stability analysis in grid connected wind-diesel-PV hybrid system

Abstract In this paper, a novel hybrid technique is proposed for transient stability analysis on grid connected Wind-Diesel-PV system. The methodology combination of the dwarf mongoose optimization algorithm (DMO) and recalling enhanced recurrent neural network (RERNN) named DMO-RERNN. main purpose work to consider various elements system according different conditions. voltage profile using unified power flow controller (UPFC), which also has higher performance improving compared conventional ANN, PI fuzzy-sliding mode controller. Considering technique, DMO used find optimal global solution fault predicted by RERNN approach. executed MATLAB platform; its with existing systems analyzed. result proves that based UPFC provides better results other technique. efficiency 82.136, ANN 77, Fuzzy Sliding Mode 65.097% 97.99038%.