Artificial Intelligence based Fuzzy-MPPT Technique of H-Bridge Inverter for Grid-Connected Photovoltaic System

This paper presents the development of Single-stage String Photovoltaic (PV) Inverter with Modified Perturb and Observe (P&O) Fuzzy Logic Control (FLC) based-Maximum Power Point Tracking (MPPT) technique. Previous works on Single-stage string PV inverter come with various types of the circuit configuration and switching technique incorporating with a different type of MPPT. Each circuit topology and MPPT technique have their advantages and disadvantages and also has their performance limitation. Perturb and Observe (P&O) is mostly used MPPT technique due to simple algorithm and fewer parameters requirement. Fuzzy Logic Control (FLC) technique is also simple but requires studies and well-understanding on the nature of the system as to develop good design control. The proposed work is to develop the Single-stage H-Bridge PV inverter with simple MPPT technique that combines the advantages of the P&O and FLC technique. The proposed system is mainly tested on the 340W system by using two series mono-crystalline STP170s-24/Ac PV modules. The system is modelled in MATLAB/Simulink, and the performance is compared with the conventional P&O technique. The performance of the system in simulation and experimental is evaluated under steady state and dynamic response.