Comparison of P&O and ANFIS methods for monitoring the maximum power point of photovoltaic modules in electrical complexes
Photovoltaic energy depends on the conversion of sunlight into electricity. In recent years, the price of solar power plant equipment has dropped sharply, which has led to the increase of photovoltaic power generation in recent years. There is a trend of decreasing cost of solar panels and power plant equipment, and this has caused the increase of electricity generated from PV modules. OBJECTIVE. To develop a system to maximize the power output of PV panels under changing solar irradiance and temperature conditions. METHODS. This study compares two methods that can improve the working efficiency of PV modules by determining the maximum power point, ANFIS and P&O. RESULTS. This paper explains the step-by-step process, simulation and disturbance and observation analysis by ANFIS and P&O using MATLAB/Simulink software. The P&O method works better in stable conditions, but its effectiveness drops sharply with sudden changes in lighting. On the other hand, ANFIS is more resistant to changes and is able to adapt to new conditions, which makes it a more versatile tool. CONCLUSION. Therefore, when choosing an approach to MPP tracking, it is worth considering many factors, including operating conditions, available resources, and goals. The P&O method is an excellent solution for less demanding conditions and simple installations, while ANFIS provides solutions for more complex and dynamic applications. The main thing to emphasize is the need for a thorough assessment of the situation and the selection of the most suitable method for specific conditions. Determining the right strategy can significantly improve the performance of PV modules and increase their overall efficiency within electrical complexes.
Authors
- R. R. Gibadullin (ORCID: https://orcid.org/0009-0009-4134-9480)
- Timur Petrov (ORCID: https://orcid.org/0000-0002-8733-8914)
- Nisreen Kareem Ali
- A. R. Petrova
Institutions
- Kazan State Power Engineering University (RU)
Publication Details
- Journal
- Power engineering research equipment technology
- Published
- 2025-03-17
- DOI
- https://doi.org/10.30724/1998-9903-2025-27-1-37-47
- Primary Topic
- Photovoltaic System Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00