New energy power system inertia weak position evaluation and frequency monitoring positioning Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3389/fenrg.2024.1418302
The high proportion of new energy into the power grid leads to a significant uneven distribution trend of the inertia of the power grid, which seriously affects the safe and stable operation of the power grid. It is urgent to carry out the inertia evaluation of the new energy power system. In view of the insufficient accuracy of the equivalent inertia evaluation method of a single inertia center in evaluating large-scale power systems, this paper first proposed the equivalent inertia evaluation method of new energy power system in the region, and proposed the evaluation index of network area inertia to reveal the weak inertia network area. Secondly, for the inertia evaluation of new energy power system nodes, monitoring devices should be installed at each bus node. As the system construction cost is too high, a node inertia evaluation model of new energy power system is established to reduce the number of monitoring devices installed. Finally, in view of the unclear basis and inaccurate location of the frequency monitoring node selection model in the evaluation of equivalent inertia, a correlation model of equivalent inertia and node inertia is established to characterize the correlation between any node inertia and system equivalent inertia in the system. The consistency of the position of the equivalent inertia evaluation frequency monitoring node and the maximum inertia node of the system was derived, and the accuracy of the maximum inertia node as a frequency monitoring node was verified by the inertia center method and the frequency center method.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fenrg.2024.1418302
- OA Status
- gold
- Cited By
- 2
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401095159
Raw OpenAlex JSON
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https://openalex.org/W4401095159Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fenrg.2024.1418302Digital Object Identifier
- Title
-
New energy power system inertia weak position evaluation and frequency monitoring positioningWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-29Full publication date if available
- Authors
-
Jiaji Liu, Di PengList of authors in order
- Landing page
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https://doi.org/10.3389/fenrg.2024.1418302Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3389/fenrg.2024.1418302Direct OA link when available
- Concepts
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Inertia, Node (physics), Power (physics), Position (finance), Energy (signal processing), Control theory (sociology), Computer science, Engineering, Mathematics, Physics, Structural engineering, Statistics, Artificial intelligence, Control (management), Quantum mechanics, Finance, Economics, Classical mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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3Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.reveal | 100 |
| abstract_inverted_index.should | 119 |
| abstract_inverted_index.single | 65 |
| abstract_inverted_index.stable | 30 |
| abstract_inverted_index.system | 86, 115, 128, 143, 197, 223 |
| abstract_inverted_index.uneven | 14 |
| abstract_inverted_index.urgent | 38 |
| abstract_inverted_index.affects | 26 |
| abstract_inverted_index.between | 192 |
| abstract_inverted_index.devices | 118, 152 |
| abstract_inverted_index.inertia | 19, 43, 60, 66, 79, 98, 103, 109, 136, 182, 185, 195, 199, 211, 219, 232, 243 |
| abstract_inverted_index.maximum | 218, 231 |
| abstract_inverted_index.method. | 250 |
| abstract_inverted_index.network | 96, 104 |
| abstract_inverted_index.region, | 89 |
| abstract_inverted_index.system. | 50, 202 |
| abstract_inverted_index.unclear | 159 |
| abstract_inverted_index.Finally, | 154 |
| abstract_inverted_index.accuracy | 56, 228 |
| abstract_inverted_index.derived, | 225 |
| abstract_inverted_index.inertia, | 176 |
| abstract_inverted_index.location | 163 |
| abstract_inverted_index.position | 207 |
| abstract_inverted_index.proposed | 76, 91 |
| abstract_inverted_index.systems, | 72 |
| abstract_inverted_index.verified | 240 |
| abstract_inverted_index.Secondly, | 106 |
| abstract_inverted_index.frequency | 166, 213, 236, 248 |
| abstract_inverted_index.installed | 121 |
| abstract_inverted_index.operation | 31 |
| abstract_inverted_index.selection | 169 |
| abstract_inverted_index.seriously | 25 |
| abstract_inverted_index.equivalent | 59, 78, 175, 181, 198, 210 |
| abstract_inverted_index.evaluating | 69 |
| abstract_inverted_index.evaluation | 44, 61, 80, 93, 110, 137, 173, 212 |
| abstract_inverted_index.inaccurate | 162 |
| abstract_inverted_index.installed. | 153 |
| abstract_inverted_index.monitoring | 117, 151, 167, 214, 237 |
| abstract_inverted_index.proportion | 2 |
| abstract_inverted_index.consistency | 204 |
| abstract_inverted_index.correlation | 178, 191 |
| abstract_inverted_index.established | 145, 187 |
| abstract_inverted_index.large-scale | 70 |
| abstract_inverted_index.significant | 13 |
| abstract_inverted_index.characterize | 189 |
| abstract_inverted_index.construction | 129 |
| abstract_inverted_index.distribution | 15 |
| abstract_inverted_index.insufficient | 55 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8999999761581421 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.67669192 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |