The main objective of this concept is attaining optimal harmonic resolution, unity power factor, DC bus voltage regulation, incredible efficiency, and low switch stress. The proposed technique employs a co-generation based micro-grid system via zeta methodology of neuro-fuzzy controller for optimal performance of asymmetrical 15-level inverter. This proposed asymmetrical converter requires only 7 switches over 10 switches for improved 15-level voltage provides a pure sinusoidal current which is in phase with improved grid voltage. ANFIS controller predicts the optimal modulation index&switching angles for an improved output voltage then prevents the sudden variations coming from the grid/DC bus. The proposed concept is so perfect compare to several test system based classical pi, fuzzy controllers. A simulink model is designed to validate the performance evaluation of this proposed work by using matlab/simulink platform and results are conferred. The major findings in this work is getting around 100/400 V with input voltage of 10/40 V within a single module compared to low voltage gain conversion schemes. The type of conversion schemes is mostly preferred in micro-grid applications, irrigation applications and etc.
Keywords
Advanced Multi-Carrier Modulation Schemes, Adaptive Neuro-Fuzzy Inference System Controller, Asymmetrical Inverter Topology, Co-Generation Scheme, Total Harmonic Distortion
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