Applicability of LED lamps classification methods

被引:0
|
作者
Gutierrez-Ballesteros, Elena [1 ]
Ronnberg, Sarah [1 ]
Gil-de-Castro, Aurora [2 ]
机构
[1] Lulea Univ Technol, Elect Power Engn, Skelleftea, Sweden
[2] Univ Cordoba, Dept Ingn Elect & Comp, Cordoba, Spain
关键词
Classification methods; Machine Learning; LED lamps; topologies;
D O I
10.1109/ICHQP53011.2022.9808648
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The topology of a device will determine the impact said device has on the grid and how immune that device is for disturbances in the grid. LED lamps are very commonly used devices, with different topologies available in the market, each topology showing different behavior when connected to a grid. For power quality studies, it is important to classify LED lamps, without breaking them to know the topology. Several classification methods are found in the literature with this purpose. In this paper, four methods from different papers for classifying LED lamps have been applied to a group of 21 LED lamps with active power consumption below 25 W. It has been observed that the applicability of the methods may lead to a gap of knowledge needed for classification, leaving space for personal criteria when classifying. that can be afforded using unsupervised Machine Learning.
引用
收藏
页数:6
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