Online power quality disturbance detection by support vector machine in smart meter
نویسندگان
چکیده
منابع مشابه
Automatic Power Quality Disturbance Classification Using Wavelet, Support Vector Machine and Artificial Neural Network
Abstract— This paper considers two important classification algorithms for to classify several power quality disturbances. Artificial Neural Network (ANN) and support vector machine (SVM). The last one is a novel algorithm that has shown good performance in general patterns classification. Nevertheless, Multilayer Perceptron Artificial Neural Network (MLPANN) is the most popular and most widely...
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The novelty of our approach resides in the processing of real-time power fault events from DDS to GIS web clients in three stages, as illustrated in Figure 2: 1) When the fault overlay is selected, a DDS subscriber is internally launched and connected to the GIS client in order to capture fault events, ie voltage sags, swells and other power disturbances detected at the smart meters and substat...
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ژورنال
عنوان ژورنال: Journal of Modern Power Systems and Clean Energy
سال: 2018
ISSN: 2196-5625,2196-5420
DOI: 10.1007/s40565-018-0488-z