Voltage sag assessment using an extended fault positions method and Monte Carlo simulation Article Swipe
Jorge Washington Sagre
,
John E. Candelo-Becerra
,
Johny Montaña
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.15446/dyna.v83n195.49495
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.15446/dyna.v83n195.49495
In this article, we propose an extended fault positions method combined with the Monte Carlo method to evaluate voltage sags. The distribution function SARFI is obtained by taking into account the randomness of (i) location of faults in lines, (ii) generation dispatch, and (iii) the prefault voltage. Voltage magnitudes are calculated with power flow, while noting changes in the generation dispatch, the load, and the topology of the area of vulnerability (AOV). The method is tested in the Atlantic coast area of the National Interconnected Power System of Colombia. The distribution of the number of voltage sags per year with the magnitude in bus bars and the impact of generation on the voltage sags are determined. With a higher number of plants dispatched, voltage sags caused by faults are less severe due to the robustness of the power system and the voltage support. Operation with coupled bars had a greater impact on voltage sags compared to uncoupled bars.
Related Topics
Concepts
Voltage sag
Voltage
Monte Carlo method
Robustness (evolution)
Randomness
Electric power system
Fault (geology)
Engineering
Voltage regulation
Control theory (sociology)
Power (physics)
Topology (electrical circuits)
Computer science
Electrical engineering
Power quality
Mathematics
Physics
Statistics
Gene
Geology
Quantum mechanics
Artificial intelligence
Chemistry
Control (management)
Biochemistry
Seismology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.15446/dyna.v83n195.49495
- OA Status
- diamond
- Cited By
- 9
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2335920254
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2335920254Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.15446/dyna.v83n195.49495Digital Object Identifier
- Title
-
Voltage sag assessment using an extended fault positions method and Monte Carlo simulationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-02-23Full publication date if available
- Authors
-
Jorge Washington Sagre, John E. Candelo-Becerra, Johny MontañaList of authors in order
- Landing page
-
https://doi.org/10.15446/dyna.v83n195.49495Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.15446/dyna.v83n195.49495Direct OA link when available
- Concepts
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Voltage sag, Voltage, Monte Carlo method, Robustness (evolution), Randomness, Electric power system, Fault (geology), Engineering, Voltage regulation, Control theory (sociology), Power (physics), Topology (electrical circuits), Computer science, Electrical engineering, Power quality, Mathematics, Physics, Statistics, Gene, Geology, Quantum mechanics, Artificial intelligence, Chemistry, Control (management), Biochemistry, SeismologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 1, 2021: 2, 2020: 2, 2019: 2Per-year citation counts (last 5 years)
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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