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Fault Diagnosis of Solar Power Inverter Using Characteristics of Trajectory Image of Current And Tree Model  

Hwang, Jae-Ho (Dept. of Electronic Engin., Hanbat National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.47, no.4, 2010 , pp. 102-108 More about this Journal
Abstract
The photovoltaic system changes solar energy into DC by solar cell and this DC is inverted into AC which is used in general houses by inverter. Recently, the use of power of the photovoltaic system is increased. Therefore, the study of 3 phase solar system to transmit large power is very important. This paper proposes a method that finds simply faults and diagnoses the switch open faults of 3-phase pulse width modulation (PWM) inverter of grid-connected photovoltaic system. The proposed method in $\alpha\beta$ plane uses the patterns of trajectory image as the characteristic parameters and differenciates a normal state and open states of switches. Then, the result is made into tree. The tree is composed of 21 fault patterns and the parameters to classify faults are a shape, a trajectory area, a distributed angle, and a typical vector angle. The result shows that the proposed method diagnosed fault diagnoses, classified correctly them, and made a pattern tree by fault patterns.
Keywords
pattern recognition; image understanding; fault diagnosis; decision tree;
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