CANFIS based DSTATCOM modelling for solving power quality problems

Devolution of the power grid into smart was necessitated by proliferation sensitive load profiles system, as well incessant environmental challenges. These two factors culminated aggravated disturbances that cause serious havoc along entire system structure. The traditional proportional-plus-integral-plus-derivative (PID) solution offered distribution synchronous compensator (DSTATCOM) could no longer hold. As such, this paper proposes some soft-computing framework for redesigning DSTATCOM to automatically deal with quality (PQ) problems in grids. A recipe artificial neural network (ANN) and coactive neuro-fuzzy inference systems (CANFIS) fabricated objective. modelled, simulated, validated MATLAB/Simulink SimPowerSystems environment. performance CANFIS against adaptive (ANFIS), ANN fuzzy logic controllers’ algorithms proved superior handling PQ issues like voltage sag, swell harmonics.