Photovoltaic fault detection algorithm based on theoretical curves modelling and fuzzy classification system
作者： Mahmoud Dhimish , Violeta Holmes , Bruce Mehrdadi , Mark Dales , Peter Mather
DOI: 10.1016/J.ENERGY.2017.08.102
关键词:
摘要: Abstract This work proposes a fault detection algorithm based on the analysis of theoretical curves which describe behavior an existing PV system. For given set working conditions, solar irradiance and modules' temperature, number attributes such as voltage ratio (VR) power (PR) are simulated using virtual instrumentation (VI) LabVIEW software. Furthermore, third order polynomial function is used to generate two limits for VR PR ratios obtained VI simulation tool. The high low compared with measured data taken from 1.1 kWp system installed at University Huddersfield, United Kingdom. Samples lie out processed by fuzzy logic classification consists inputs one output membership function. In this paper, faults corresponds short circuited module. results show that can accurately detect different occurring in system, where maximum accuracy before considering equal 95.27%. However, increased up minimum value 98.8% after
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