A Microgrid-Based Power Quality Enhancer for Sustainable Energy Using Hybrid Active Power Filter Control

The stability of the system may be impacted by the significant problem of the rise of nonlinear load. Deep neuro Fuzzy logic control is used to solve the difficult problem of controller parameter tuning and to demonstrate the system's stability using Clarke's stability function, and for optimizing sensing harmonic source this study use FFT lag-1 to reduce harmonics source. The research study will concentrate on an enhanced current technique that uses a fuzzy interface in conjunction with an HAPF (Hybrid Active Power Filter) and is applied to combination linear load with non-linear load. Finally, a comparison of two more methods is made the latter approach outperforms the standard active power filter. These other methods include a hybrid filter with Deep Neuro Fuzzy Logic. The same model was simulated in IEEE std-519-1992 under both perfect and distorted supply conditions, and it was found that the latter configuration yielded better results than the former.