Combined classification of Power Quality Disturbances and Power System Faults
| Autor: | Aslam Shaik, A. Srinivasula Reddy |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
business.industry 020208 electrical & electronic engineering Wavelet transform Control engineering 02 engineering and technology Swell Reliability engineering Electric power system Wavelet Harmonics Voltage sag 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business MATLAB computer computer.programming_language Voltage |
| Zdroj: | 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). |
| DOI: | 10.1109/iceeot.2016.7755423 |
| Popis: | Power Quality has become an important issue for electric utilities and the customers with uninterrupted and reliable supply. Power Quality disturbances such as interruption in line, noise, distortion of waves like voltage sag, voltage swell, harmonics results in malfunction of equipment and causes failure of device. And at times it may cause unnecessary interruption of supply. Thus an intelligent classifier is needed to protect the device and to maintain the uninterrupted supply. This paper deals with the proposal for the development of an intelligent classifier by comparing the wave patterns of various Power Quality Disturbances and Power System Faults. Here ANN is used as classifier and wavelet is used as mechanism. This is modelled and simulated using MATLAB. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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