학술논문

Comparative Analysis of P&O and Fuzzy logic based MPPT methods for Bi-facial Photovoltaic module
Document Type
Conference
Source
2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) Electrical, Electronics and Computer Science (SCEECS), 2024 IEEE International Students' Conference on. :1-6 Feb, 2024
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Maximum power point trackers
Fuzzy logic
Temperature sensors
Temperature measurement
Temperature
Temperature control
Solar panels
Bifacial PV modeling
maximum power point tracking methods
boost converter
Perturb and observe method
fuzzy logic control
Language
ISSN
2688-0288
Abstract
A power tracking system is necessary for a photovoltaic (PV) system to monitor the maximum working power. The maximum power point tracking (MPPT) technique ensures that the system works efficiently in ever-changing irradiance and temperature conditions. To investigate the effectiveness of the MPPT approach, a solitary bifacial PV model is proposed. Bifacial solar panels have the capability of generating more power compared to conventional solar panels. The advantage of high-power density is because of the non-reflective front and back surfaces. The conventional Perturb and observe algorithm (P&O) and the artificial intelligence-based fuzzy logic control (FLC) approaches are compared among themselves. The two MPPT approaches are analyzed according to bifacial gain, bifaciality factor, and panel efficiency. The comparison aims to show that the fuzzy-logic control outperforms the conventional P&O approach at standard as well as varying conditions of temperature and irradiance.