UK University develops fault detection algorithms to optimize photovoltaic performance

UK University develops fault detection algorithms Do a lot of research on optimizing PV performance

An electronics and engineering research group at the University of Huddersfield in the United Kingdom is developing a computing technology that aims to enable energy sharing among residential communities and optimise the use of energy for PV owners.

Energy-sharing platforms like this are widely considered to be an important part of the future energy system, and some are already commercially viable. The research at the University of Huddersfield also includes an algorithm that detects and locates faults in photovoltaic systems through statistical data analysis.

Dr. Mahmoud Dhimishd, the team's chief researcher, has done a lot of research on the effects of microcracking on photovoltaic performance. This latest research result may lead to the development of cloud monitoring systems, or the emergence of unit facilities that can be directly operated by system owners.

The research report states that the fault detection algorithm uses the "t-test" to compare the measured and theoretical output power. Experimental results show that the algorithm can accurately detect and locate different types of faults.

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