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This paper first analyzes the PQ Transform and alphabeta Transform of some normal power quality disturbances and then proposes four characteristic indexes which can be used to classify 5 single disturbances and 6 mixed disturbances exactly. The algorithm is simple and easy to be implemented by hardware. It can also be the basis of power quality index evaluation. At last, this paper simulates the disturbance classification method in Matlab, and the result indicates that the classification method proposed by this paper is accurate, effective, and has a good effect on classifying mixed disturbance. The misjudge rate is also low.
Date of Conference: 3-5 June 2008