ANN Controlled Single-Phase Microinverter for Off-Grid Solar Application
The voltage produced by solar panels fluctuates due to change in irradiance, temperature, and shading. This makes it challenging to obtain a stable voltage suitable for powering devices that use regular household electricity. This article proposes a solar microinverter with Artificial Neural Network...
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Veröffentlicht in: | IEEE journal of emerging and selected topics in power electronics 2024-09, p.1-1 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The voltage produced by solar panels fluctuates due to change in irradiance, temperature, and shading. This makes it challenging to obtain a stable voltage suitable for powering devices that use regular household electricity. This article proposes a solar microinverter with Artificial Neural Network (ANN) controller that can handle input voltages ranging from 24V to 46V and consistently produces an output voltage of 230V rms . A modified Z-source converter with an active switch helps achieve the requisite gain. The ANN controller enables dynamic adjustment of the duty ratio in response to fluctuations in input voltage or load, ensuring optimal control and performance. The proposed microinverter provides a common grounding feature between the solar panel and load; this suppresses the Photovoltaic (PV) leakage current. The article provides a detailed circuit operation explanation, and real-time validation confirms the performance of microinverter under practical conditions. This solution addresses the challenge of obtaining stable voltages for household device power supply from solar panels. |
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ISSN: | 2168-6777 2168-6785 |
DOI: | 10.1109/JESTPE.2024.3468391 |