Linear OPF-based Robust Dynamic Operating Envelopes with Uncertainties in Unbalanced Distribution Networks Article Swipe
Bin Liu
,
Julio H. Braslavsky
,
Nariman Mahdavi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2302.13472
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2302.13472
Dynamic operating envelopes (DOEs), as a key enabler to facilitate DER integration, have attracted increasing attention in the past years. However, uncertainties, which may come from load forecast errors or inaccurate network parameters, have been rarely discussed in DOE calculation, leading to compromised quality of the hosting capacity allocation strategy. This letter studies how to calculate DOEs that are immune to such uncertainties based on a linearised unbalanced three-phase optimal power flow (UTOPF) model. With uncertain parameters constrained by norm balls, formulations for calculating Robust DOEs (RDOEs) are presented along with discussions on their tractability. Two cases, including a 2-bus illustrative network and a representative Australian network, are tested to demonstrate the effectiveness and efficiency of the proposed approach.
Related Topics
Concepts
Power flow
Computer science
Mathematical optimization
Key (lock)
Power quality
Enabling
Norm (philosophy)
Power (physics)
Control theory (sociology)
Electric power system
Mathematics
Artificial intelligence
Psychology
Quantum mechanics
Psychotherapist
Computer security
Physics
Law
Political science
Control (management)
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2302.13472
- https://arxiv.org/pdf/2302.13472
- OA Status
- green
- Cited By
- 2
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4322717104
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4322717104Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2302.13472Digital Object Identifier
- Title
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Linear OPF-based Robust Dynamic Operating Envelopes with Uncertainties in Unbalanced Distribution NetworksWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-02-27Full publication date if available
- Authors
-
Bin Liu, Julio H. Braslavsky, Nariman MahdaviList of authors in order
- Landing page
-
https://arxiv.org/abs/2302.13472Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2302.13472Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2302.13472Direct OA link when available
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Power flow, Computer science, Mathematical optimization, Key (lock), Power quality, Enabling, Norm (philosophy), Power (physics), Control theory (sociology), Electric power system, Mathematics, Artificial intelligence, Psychology, Quantum mechanics, Psychotherapist, Computer security, Physics, Law, Political science, Control (management)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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11Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2023-02-27 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3192479707, https://openalex.org/W4386124163, https://openalex.org/W4312443975, https://openalex.org/W2038625007, https://openalex.org/W3020541374, https://openalex.org/W4293812278, https://openalex.org/W4210887965, https://openalex.org/W1488435683, https://openalex.org/W2067108585, https://openalex.org/W2138663913, https://openalex.org/W2089953380 |
| referenced_works_count | 11 |
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| corresponding_author_ids | https://openalex.org/A5100711159 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I1292875679 |
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| citation_normalized_percentile.is_in_top_10_percent | False |