Automated analysis of power systems disturbance records: smart grid big data perspective
Analysis of faults and disturbances play crucial roles in secure and reliable electrical power supply. Digital fault recorders (DFR) enable digital recording of the power systems transient events with high quality and huge quantity. However, transformation of data to information, expectedly in...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/96767 http://hdl.handle.net/10220/20356 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Analysis of faults and disturbances play crucial
roles in secure and reliable electrical power supply. Digital
fault recorders (DFR) enable digital recording of the power
systems transient events with high quality and huge quantity.
However, transformation of data to information, expectedly in
an automated way, is a big challenge for the power utilities
worldwide. This is a key focus for realizing the ‘Smart Grid’. In
this paper, the architecture and specifications for the primary
and the secondary information for the automated systems are
described. This provides qualitative and quantitative guidelines
about the information to derive out of the disturbance data.
A quantified estimate of big data for the substations, has been
estimated in the paper. Possible ways of reducing the big data
by utilizing intelligent segmentation techniques are described,
substantiated by real example. Utilization of centralized
protection and remote disturbance analysis for reducing big
disturbance data are also discussed. |
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