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Enhancement of solar photovoltaic using maximum power point tracking based on hill climbing optimization algorithm
The voltage generated by solar photovoltaic depends on sunlight intensity. Since the direction of sunlight changes during a day, it causes changing of sunlight intensity leading to voltage reduction. To maintain the voltage, the panel must be directed so that it stays facing toward the sun to get ma...
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Published in: | Journal of physics. Conference series 2020-04, Vol.1517 (1), p.12096 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The voltage generated by solar photovoltaic depends on sunlight intensity. Since the direction of sunlight changes during a day, it causes changing of sunlight intensity leading to voltage reduction. To maintain the voltage, the panel must be directed so that it stays facing toward the sun to get maximum light intensity. The algorithm of Hill Climbing is employed to search the most optimal panel position that enables providing maximum voltage. This algorithm explores and saves the most optimal condition and updates it if new situation takes place. The algorithm is implemented in a Maximum Power Point Tracking (MPPT) system that continuously directs the panel to generate maximum voltage. An Arduino microcontroller is employed to interpret the algorithm that instructs DC Motor to set the most optimal panel position. A set of current and voltage sensors is used to measure and provide feedbacks to the controller. The system is implemented on a 50 WP solar panel that enables providing higher power compared with that without MPPT. Since the microcontroller and actuator also consume power, this should also be taken into account. Inclusion of this additional power still makes the system provide net power higher compared with that without MPPT. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/1517/1/012096 |