A dual time-scale optimal dispatch algorithm for PV systems: Integrating centralized optimal power dispatch with distributed power deviation absorption in DC smart grids Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1016/j.clet.2025.100961
The integration of Photovoltaic (PV) systems into DC smart grids faces challenges due to solar power’s inherent unpredictability. Traditional dispatch methods struggle to effectively manage PV power deviations in real-time. This paper proposes a dual time-scale strategy integrating centralized optimization with distributed consensus. On the long-term scale, a convex relaxation-based optimal power flow model minimizes line losses and stabilizes voltages. For short-term adjustments, a distributed consensus algorithm dynamically allocates power deviations among PV sources using reserve capacity, eliminating the need for probabilistic uncertainty modeling. The approach is validated through IEEE 14-node simulations and hardware-in-loop (HIL) tests, with comparisons against centralized methods considering forecast errors. The results demonstrate enhanced voltage stability, highlighting the framework’s practicality for real-time grid management.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.clet.2025.100961
- OA Status
- gold
- Cited By
- 1
- References
- 28
- Related Works
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- OpenAlex ID
- https://openalex.org/W4410171549
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410171549Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.clet.2025.100961Digital Object Identifier
- Title
-
A dual time-scale optimal dispatch algorithm for PV systems: Integrating centralized optimal power dispatch with distributed power deviation absorption in DC smart gridsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-05-01Full publication date if available
- Authors
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Jiahua Ni, Yuwei Chen, Arman Goudarzi, Tong Wang, Lingang Yang, Shengwei MeiList of authors in order
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https://doi.org/10.1016/j.clet.2025.100961Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.clet.2025.100961Direct OA link when available
- Concepts
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Economic dispatch, Dual (grammatical number), Computer science, Scale (ratio), Power (physics), Absorption (acoustics), Smart grid, Mathematical optimization, Distributed generation, Electric power system, Algorithm, Engineering, Mathematics, Electrical engineering, Materials science, Physics, Composite material, Art, Literature, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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28Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.into | 6 |
| abstract_inverted_index.line | 55 |
| abstract_inverted_index.need | 79 |
| abstract_inverted_index.with | 40, 96 |
| abstract_inverted_index.(HIL) | 94 |
| abstract_inverted_index.among | 71 |
| abstract_inverted_index.faces | 10 |
| abstract_inverted_index.grids | 9 |
| abstract_inverted_index.model | 53 |
| abstract_inverted_index.paper | 31 |
| abstract_inverted_index.power | 26, 51, 69 |
| abstract_inverted_index.smart | 8 |
| abstract_inverted_index.solar | 14 |
| abstract_inverted_index.using | 74 |
| abstract_inverted_index.convex | 48 |
| abstract_inverted_index.losses | 56 |
| abstract_inverted_index.manage | 24 |
| abstract_inverted_index.scale, | 46 |
| abstract_inverted_index.tests, | 95 |
| abstract_inverted_index.14-node | 90 |
| abstract_inverted_index.against | 98 |
| abstract_inverted_index.errors. | 103 |
| abstract_inverted_index.methods | 20, 100 |
| abstract_inverted_index.optimal | 50 |
| abstract_inverted_index.reserve | 75 |
| abstract_inverted_index.results | 105 |
| abstract_inverted_index.sources | 73 |
| abstract_inverted_index.systems | 5 |
| abstract_inverted_index.through | 88 |
| abstract_inverted_index.voltage | 108 |
| abstract_inverted_index.approach | 85 |
| abstract_inverted_index.dispatch | 19 |
| abstract_inverted_index.enhanced | 107 |
| abstract_inverted_index.forecast | 102 |
| abstract_inverted_index.inherent | 16 |
| abstract_inverted_index.proposes | 32 |
| abstract_inverted_index.strategy | 36 |
| abstract_inverted_index.struggle | 21 |
| abstract_inverted_index.algorithm | 66 |
| abstract_inverted_index.allocates | 68 |
| abstract_inverted_index.capacity, | 76 |
| abstract_inverted_index.consensus | 65 |
| abstract_inverted_index.long-term | 45 |
| abstract_inverted_index.minimizes | 54 |
| abstract_inverted_index.modeling. | 83 |
| abstract_inverted_index.power’s | 15 |
| abstract_inverted_index.real-time | 115 |
| abstract_inverted_index.validated | 87 |
| abstract_inverted_index.voltages. | 59 |
| abstract_inverted_index.challenges | 11 |
| abstract_inverted_index.consensus. | 42 |
| abstract_inverted_index.deviations | 27, 70 |
| abstract_inverted_index.real-time. | 29 |
| abstract_inverted_index.short-term | 61 |
| abstract_inverted_index.stability, | 109 |
| abstract_inverted_index.stabilizes | 58 |
| abstract_inverted_index.time-scale | 35 |
| abstract_inverted_index.Traditional | 18 |
| abstract_inverted_index.centralized | 38, 99 |
| abstract_inverted_index.comparisons | 97 |
| abstract_inverted_index.considering | 101 |
| abstract_inverted_index.demonstrate | 106 |
| abstract_inverted_index.distributed | 41, 64 |
| abstract_inverted_index.dynamically | 67 |
| abstract_inverted_index.effectively | 23 |
| abstract_inverted_index.eliminating | 77 |
| abstract_inverted_index.integrating | 37 |
| abstract_inverted_index.integration | 1 |
| abstract_inverted_index.management. | 117 |
| abstract_inverted_index.simulations | 91 |
| abstract_inverted_index.uncertainty | 82 |
| abstract_inverted_index.Photovoltaic | 3 |
| abstract_inverted_index.adjustments, | 62 |
| abstract_inverted_index.highlighting | 110 |
| abstract_inverted_index.optimization | 39 |
| abstract_inverted_index.practicality | 113 |
| abstract_inverted_index.framework’s | 112 |
| abstract_inverted_index.probabilistic | 81 |
| abstract_inverted_index.hardware-in-loop | 93 |
| abstract_inverted_index.relaxation-based | 49 |
| abstract_inverted_index.unpredictability. | 17 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8199999928474426 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.85476941 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |