Identification of weak areas of the network based on exposure to voltage sags—part II: assessment to network performance using sag severity index
- Submitting institution
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Sheffield Hallam University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 2927
- Type
- D - Journal article
- DOI
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10.1109/TPWRD.2014.2362957
- Title of journal
- IEEE Transactions on Power Delivery
- Article number
- -
- First page
- 2401
- Volume
- 30
- Issue
- 6
- ISSN
- 0885-8977
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2014
- 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
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was the result of a collaboration with Prof Jovica V. Milanovic (The University of Manchester). This work was supported by SuSTAINABLE Project under Grant 308755. The paper presents a new single-event characteristic, sag severity index derived with respect to equipment sensitivity to voltage sags. By changing parameter settings, the index appropriately accounts for sag duration and adequately addresses the variation in equipment sensitivity. The value of the index changes continuously at the joining regions of different sag severity levels and reflects realistically the sensitivity trend of equipment embedded in voltage tolerance curves.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
