| Autor: |
G. N. Bonde, S. R. Paraskar, Arati S. Ambhore |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE). |
| DOI: |
10.1109/rdcape47089.2019.8979015 |
| Popis: |
This paper presents the detection of power quality (PQ) events using mathematical morphology and classification of the events using statistical parameter such as standard deviation. The mathematical morphology is used to detect the events. By using mathematical morphology the feature is extracted that is morphological gradient. The morphological gradient can be determined from the erosion and dilation of the given test signal. At start of the event the morphological gradient gives the pulse as well at the end of the event pulse is obtained. So the threshold value is set based on to the normal voltage signal without disturbance. If the morphological gradient exceeds the threshold value the flag goes high and it indicates the initiation of events similarly at end of the events the flag goes high. The statistical parameter such as standard deviation (STD) is used for the classification of the events such as voltage sag, voltage swell and interruption. The STD is determined for half cycle from the initiation of the events again the threshold value is set for the classification. The five samples of the voltage sag, swell and interruption events are recorded using the trailer made experimentation in the laboratory. The methodology is tested over it. The method is very easy as well as simple to implement and faster. It works with the experimental data consisting a lot of noise; this is the strength of the algorithm. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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