Optimal Protection Scheme for Distribution Systems Integrated with Distributed Generator Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21608/ajnsa.2023.236014.1774
Combination between the distributed generator (DG) such as conventional distribution grid, tidal turbines, and nuclear power plant is increasing rapidly around the countries, because of its reliable and nature- friendly behaviors. Also, DGs are a major feature in a smart grid. However, this integration causes bidirectional current flows and contributes to the level of fault current especially during the power swing. Therefore, it changes the fault current pattern in the distribution network and adversely affects the coordination of the protection relays. Many papers have proposed different techniques to detect and classify the faults in distribution network and only isolate the faulty section such as (protection coordination using dual setting directional relays, Fuzzy logic based method, wavelet transform based method, Adaptive protection based techniques...etc). In the light of this situation, a comprehensive protection algorithm is proposed in this paper to detect any fault in distribution network with DGs during the power swing and guarantees a secure and reliable performance to avoid any unintentional disconnection during any fault case. The proposed protection direction scheme totally depends on the auto regression technique for the positive sequence component of currents angles difference (fault–prefault). It is better to depend on current signals only in designing smart protection systems. In this article, a proposed protection scheme depending on current signal of two terminals. The effectiveness of the proposed scheme is demonstrated compared to other methods in the literature.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.21608/ajnsa.2023.236014.1774
- https://ajnsa.journals.ekb.eg/article_326304_e44e7db182798cdb76937bcef153bfe0.pdf
- OA Status
- bronze
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389057565
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389057565Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21608/ajnsa.2023.236014.1774Digital Object Identifier
- Title
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Optimal Protection Scheme for Distribution Systems Integrated with Distributed GeneratorWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-16Full publication date if available
- Authors
-
Ahmed R. Adly, omar fadle, Mohamed Essam RezkList of authors in order
- Landing page
-
https://doi.org/10.21608/ajnsa.2023.236014.1774Publisher landing page
- PDF URL
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https://ajnsa.journals.ekb.eg/article_326304_e44e7db182798cdb76937bcef153bfe0.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://ajnsa.journals.ekb.eg/article_326304_e44e7db182798cdb76937bcef153bfe0.pdfDirect OA link when available
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Scheme (mathematics), Computer science, Generator (circuit theory), Distribution (mathematics), Distributed computing, Mathematics, Power (physics), Physics, Mathematical analysis, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
-
12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.unintentional | 161 |
| abstract_inverted_index.techniques...etc). | 122 |
| abstract_inverted_index.(fault–prefault). | 188 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.17539961 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |