ANN Controller based Single Phase Cascade Thirty-One Level Grid-Tied Inverter for Power Quality Improvement

• Published in: 2022 IEEE International Conference on Current Development in Engineering and Technology (CCET) pp. 1 - 8
• Main Authors: Jayaraju, Gaddala, Rao, Dsnm, Kasireddy, Idamakanti
• Format: Conference Proceeding
• Language: English
• Published: IEEE 23.12.2022
• Subjects: (ASCHBMLI) asymmetrical cascaded H Bridge multi-level inverter; ANN (artificial neural network); Artificial neural networks; DSPIC30F2010; FLC (fuzzy logic controller); flyback converter; Fuzzy logic; Low voltage; Maximum power point trackers; Medium voltage; MPPT (maximum power point tracking); Photovoltaic-Wind system (PV-WIND); Total harmonic distortion; Voltage
• DOI: 10.1109/CCET56606.2022.10080105

A novel multilevel inverter configuration design is presented for decrease switches and increase waveform efficiency in a PV-wind system. In binary asymmetric conditions, the proposed design operates to produce a high output voltage level with a limited amount of harmonic distortion. One unipolar sinusoidal reference with fifteen carriers is utilised to generate the switching pulses that are necessary, as well as the appropriate output voltage level. Eight unipolar switches are needed for the suggested design to create the 31-level output voltage level with total harmonic distortion (THD) that fulfils IEEE 519's harmonic standard. In a MATLAB simulation, a digital multi-carrier PWM algorithm with pi, fuzzy and ANN controllers is implemented and the proposed scheme is evaluated using the dspic30F2010 controller with an experimental arrangement to validate its procedure. This paper succeeded with the aid of developing a brand new Converter system that reaches the objectives in terms of efficiency and price, by reaching a medium voltage machine with equal value as a low voltage design.