Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring
- Submitting institution
-
Royal Holloway and Bedford New College
- Unit of assessment
- 12 - Engineering
- Output identifier
- 31287283
- Type
- D - Journal article
- DOI
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10.1109/TPWRS.2017.2771278
- Title of journal
- IEEE Transactions on Power Systems
- Article number
- -
- First page
- 4228
- Volume
- 33
- Issue
- 4
- ISSN
- 0885-8950
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The proposed state observer runs in real time and has guaranteed estimation error convergence. The method is suitable for the highly non-linear characteristics of the power network, using a linear time varying estimation scheme. The method avoids false alarms and gives the system operators a view of discrepancies between their nominal power system models and the actual power system. The paper provides an approach that will lead to a more reliable system operation, with operators having a more accurate picture of the system they are operating, ultimately making the power system more reliable and resilient to events, such as blackouts.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
