Abstract
Solar tracking systems are critical for maximizing Photovoltaic (PV) energy output, yet their performance degrades significantly under Partial Shading Conditions (PSCs). Traditional sensor-based methods struggle in shaded environments due to reliance on irradiance data. This paper proposes a novel sensorless solar tracking algorithm, the Beta-Particle Filter (BPF), which integrates a β parameter into the particle filter framework to enhance tracking accuracy and efficiency under PSCs. Simulations and experiments demonstrate that BPF outperforms existing methods, achieving up to 12% higher energy generation compared to fixed panels under shading.
| Original language | English |
|---|---|
| Pages (from-to) | 71-76 |
| Number of pages | 6 |
| Journal | CEUR Workshop Proceedings |
| Volume | 4213 |
| Publication status | Published - 2026 |
| Event | 30th International Conference on Information Society and University Studies, IVUS 2025 - Kaunas, Lithuania Duration: 15 May 2025 → 15 May 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- partial shading
- particle filter
- sensorless control
- Solar tracking
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