Affiliations: [a]
Metrology Center of Yunnan Power Grid Co., Ltd., Kunming, P.R. China | [b] Faculty of Civil Aviation and Aeronautical, Kunming University of Science & Technology, Kunming, P.R. China | [c] Faculty of Power Engineering, Kunming University of Science & Technology, Kunming, P.R. China | [d] Faculty of Mechanical and Electrical Engineering, Kunming University of Science & Technology, Kunming, P.R. China
Correspondence:
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Corresponding author. Junbin Qian, Faculty of Civil Aviation and Aeronautical, Kunming University of Science & Technology, Kunming 650500, P.R. China. E-mail: [email protected].
Abstract: Power quality of distribution network is an emerging issue due to rapid increase in usage of non-linear loads on the one hand and utilization of sensitive devices on the other hand. Especially, harmonic emission is an important concern in both electric utilities and end users of electric power. Therefore, an accurate and rapid harmonic analysis method is of interest. New technologies have enabled the investigation of electricity consumption mode at an unprecedented scale and in multiple dimensions. However, an effective method that can capture the complexity of all the factors relevant to understanding a phenomenon such as ultrahigh harmonics (2–15 kHz). How to detect the super high order harmonic accurately has become the premise and foundation of the study of super high order harmonic. The key challenge in developing such approaches is the identification of effective models to provide a comprehensive and relevant systems view. An ideal method can identify super high harmonics and predict outcomes, by measured data across several dimensions variation. In this paper, the data integration, current methods and available implementation is discussed. Finally, the current challenges in integrative methods is discussed.
Keywords: Power quality, harmonic emission, unprecedented scale, multiple dimensions
