MODELING OF A PHOTOVOLTAIC POWER SYSTEM USING FUZZY LOGIC CONTROL

Abstract

This article discusses the issue of improving the efficiency of photovoltaic
systems based on a two-way DC-DC converter. It proposed a method for controlling
a photovoltaic system using the ANFIS algorithm based on fuzzy logic and a system
of neural networks. The main purpose of the study is to effectively control the
battery charging process by optimizing the energy flow, increasing the stability
of the system voltage, and reducing current fluctuations. The model takes into
account two important factors – time and ambient temperature – since these
parameters directly affect the ef�iciency of solar panels. The MATLAB/Simulink
environment served as the simulation platform for the study. The effectiveness of
the proposed control algorithm was compared with traditional methods, and its
results showed a significant improvement in the dynamic stability of the system.
The ANFIS algorithm automates control of the energy flow in a photovoltaic
system, which helps improve the quality of the generated electricity. It is advisable
to apply the results obtained in renewable energy systems, especially in the
management of solar photovoltaic systems connected to low-voltage power grids.
The results of the study may be an innovative approach to improving the efficiency
of photovoltaic systems with a dual DC-DC converter.