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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM33623
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This research presents the design and implementation of an intelligent maximum power point tracking (MPPT) controller for dual-axis solar tracking photovoltaic (PV) systems. The proposed controller integrates an advanced MPPT algorithm with a dual-axis solar tracker mechanism to optimize energy extraction from PV panels. Sensor data is utilized to dynamically adjust the solar tracker’s orientation and the PV array’s operating point simultaneously. The system’s hardware and software components are developed, including a microcontroller, sensors, motor drivers, and control algorithms. Experimental results demonstrate improved energy yield and efficiency compared to conventional fixed-axis or single-axis tracking systems.
KEYWORDS
Publication Date
12/31/45427
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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