Open AccessImproving The Controllability of Grid-Tie Inverter for Small-Scale Rooftop Photovoltaic System
Author(s) -
VanPhong Vu,
An-Quoc Hoang,
Nhon Truong Dinh
Publication year - 2022
Publication title -
technical education science/giáo dục kỹ thuật
Language(s) - English
Resource type - Journals
eISSN - 2615-9740
pISSN - 1859-1272
DOI - 10.54644/jte.68.2022.1096
Subject(s) - maximum power point tracking , photovoltaic system , inverter , overshoot (microwave communication) , grid connected photovoltaic power system , control theory (sociology) , controller (irrigation) , computer science , adaptive neuro fuzzy inference system , grid , controllability , engineering , electronic engineering , voltage , fuzzy logic , fuzzy control system , electrical engineering , mathematics , agronomy , geometry , control (management) , artificial intelligence , biology
This paper aims to apply an Adaptive Network-based Fuzzy Inference System (ANFIS) controller in a DC-link voltage regulator to decrease the power fluctuation for enhancing the performance of the grid-tie inverter for a small-scale rooftop solar Photovoltaic (PV) system. For tracking Maximum Power Point (MPP), a Perturb and Observe (P&O) algorithm was presented. To demonstrate the effectiveness of the proposed controllers for a small-scale 5 kWp rooftop solar PV system, several time-domain simulation results under a three-phase short-circuit fault that happened at a grid-tie inverter system was systematically performed by employing Matlab/ Simulink toolbox. On the basis of the simulation results, it is obvious that the proposed P&O algorithm for MPP tracking and the designed ANFIS controller for DC-link voltage regulator of the grid-tie inverter shows better performance to reduce overshoot and settling time in transient responses of the studied small-scale 5 kW grid-tie rooftop solar PV inverter under the most severe operating condition.