Abstract

This study presents compared with Fuzzy Logic Control (FLC) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Maximum Power Point Tracking (MPPT) algorithms, in terms of parameters like tracking speed, power extraction, efficiency and harmonic analysis under various irradiation and cell temperature conditions of Photovoltaic (PV) system. The performance of a PV array are affected by temperature and solar irradiation, In fact, in this system, the experimental implementation and the MATLAB based simulations are In this topology, each Cascaded H-Bridge Inverter (CHBI) unit is connected to PV module through an Interleaved Soft Switching Boost Converter (ISSBC). It also offers another advantage such as lower ripple current and switching loss compared to the conventional boost converter. The results are evaluated by simulation and experimental implemented on a 150 W PV panel prototype with the microcontroller platform. The simulation and hardware results show that ANFIS algorithm is more efficient than the FLC algorithm.

Keywords:

Cascade H-Bridge Inverter (CHBI) , Interleaved Soft Switching Boost inverter (ISSBC), Maximum Power Point Tracking (MPPT), microcontroller, Photovoltaic (PV) system,

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Competing interests

The authors have no competing interests.

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