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http://dx.doi.org/10.7471/ikeee.2021.25.4.710

Power Disturbance Detection using the Inflection Point Estimation  

Iem, Byeong-Gwan (Dept. of Electronic Eng., Gangneung-Wonju Nat. Univ.)
Publication Information
Journal of IKEEE / v.25, no.4, 2021 , pp. 710-715 More about this Journal
Abstract
Power line signal can show disturbances due to various causes. Typical anomalies are temporary sag/swell of the amplitude, flat topped signal, and harmonic distortions. The disturbances need to be detected and treated properly for the quality of the power signal. In this study, the power disturbances are detected using the inflection points (IP). The inflection points are defined as points where local maxima/minima or the slope changes occur. The power line signal has a fixed IP pattern since it is basically sinusoidal, and it may have additional inflection points if there is any disturbance. The disturbance is detected by comparing the IP patterns between the normal signal and distorted signal. In addition, by defining a cost function, the time instant where the disturbance happens can be decided. The computer simulation shows that the proposed method is useful for the detection of various disturbances. The simple sag or swell signal only shows the amplitude changes at the detected inflection points. However, the flat top signal and harmonically distorted signal produce additional inflection points and large values in the cost function. These results can be exploited for the further processing of disturbance classification.
Keywords
power line signal; inflection point detection; power disturbances; harmonic distortion;
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