Abstract
Due to the integration of different kind of distributed resources and loads with nonlinear characteristics, the quality of electric power in smart grids needs to be monitored well. In addition to power quality disturbances like sag-swell, harmonics, and inter-harmonics, flicker is one of the critical power quality phenomenon seen nowadays. For flicker measurement, a flicker meter is defined in the IEC 61000-4-15. This meter has only a voltage signal input and it is not enough to interpret the contribution of the load and remaining power systems separately. So, further analyses are required for flicker evaluation. In this paper, new approaches for flicker evaluation are proposed using signal processing techniques and information theory. The real measurements taken by an iron and steel factory are processed using above mentioned techniques to evaluate flicker characteristics. The results prove that the application of information theory in smart grid measurements provides valuable information.
Original language | English |
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Title of host publication | 4th International Istanbul Smart Grid Congress and Fair, ICSG 2016 |
Editors | Aydin Cetin, Ali Yilmaz Camurcu |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509008650 |
DOIs | |
Publication status | Published - 15 Jun 2016 |
Event | 4th International Istanbul Smart Grid Congress and Fair, ICSG 2016 - Istanbul, Turkey Duration: 20 Apr 2016 → 21 Apr 2016 |
Publication series
Name | 4th International Istanbul Smart Grid Congress and Fair, ICSG 2016 |
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Conference
Conference | 4th International Istanbul Smart Grid Congress and Fair, ICSG 2016 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 20/04/16 → 21/04/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Flicker Measurement
- Information Theory
- Signal Processing
- Wavelet Energy Entropy
- Wavelet Transform