Service restoration framework for distribution networks incorporating switching crew routing Article Swipe
Hamid Hajizadeh
,
Mahdi Davarpanah
,
Moein Abedini
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1049/gtd2.12415
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1049/gtd2.12415
Here, an optimization framework is proposed for the service restoration (SR) problem in distribution networks based on mixed‐integer second‐order cone programming (MISOCP). The objective function is to minimize (i) curtailed loads, (ii) the number of switching operations, (iii) crew dispatching cost, and (iv) operational cost. A novel approach is developed for the optimal switching crew routing (SCR) to perform the manual switching operations in a short time. Self‐healing actions including (i) network reconfiguration, (ii) load shedding, (iii) adjusting the output power of the dispatchable distributed generations (DGs), and (iv) the optimal tap setting of the voltage regulation devices are adopted in the SR strategy. Both the voltage dependency and the uncertainty nature of loads are modelled. Besides, the switch failure scenario is considered in the proposed model to deal with real operating conditions. Hence, the developed optimization framework offers the most robust SR solution. The simulation studies are performed on an actual 87‐bus system in MATLAB/Yalmip environment by adopting Gurobi solver. The obtained results verify that the proposed model enhances quality of the solution in terms of SR process time compared to the other existing models.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/gtd2.12415
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/gtd2.12415
- OA Status
- gold
- Cited By
- 4
- References
- 29
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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- DOI
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https://doi.org/10.1049/gtd2.12415Digital Object Identifier
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Service restoration framework for distribution networks incorporating switching crew routingWork title
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articleOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-02-01Full publication date if available
- Authors
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Hamid Hajizadeh, Mahdi Davarpanah, Moein AbediniList of authors in order
- Landing page
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https://doi.org/10.1049/gtd2.12415Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/gtd2.12415Direct link to full text PDF
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/gtd2.12415Direct OA link when available
- Concepts
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Crew, Routing (electronic design automation), Service (business), Computer science, Computer network, Operations research, Business, Engineering, Aeronautics, MarketingTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 1, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.loads, | 31 |
| abstract_inverted_index.manual | 61 |
| abstract_inverted_index.nature | 112 |
| abstract_inverted_index.number | 34 |
| abstract_inverted_index.offers | 139 |
| abstract_inverted_index.output | 80 |
| abstract_inverted_index.robust | 142 |
| abstract_inverted_index.switch | 119 |
| abstract_inverted_index.system | 154 |
| abstract_inverted_index.verify | 165 |
| abstract_inverted_index.actions | 69 |
| abstract_inverted_index.adopted | 100 |
| abstract_inverted_index.devices | 98 |
| abstract_inverted_index.failure | 120 |
| abstract_inverted_index.models. | 186 |
| abstract_inverted_index.network | 72 |
| abstract_inverted_index.optimal | 53, 91 |
| abstract_inverted_index.perform | 59 |
| abstract_inverted_index.problem | 12 |
| abstract_inverted_index.process | 179 |
| abstract_inverted_index.quality | 171 |
| abstract_inverted_index.results | 164 |
| abstract_inverted_index.routing | 56 |
| abstract_inverted_index.service | 9 |
| abstract_inverted_index.setting | 93 |
| abstract_inverted_index.solver. | 161 |
| abstract_inverted_index.studies | 147 |
| abstract_inverted_index.voltage | 96, 107 |
| abstract_inverted_index.87‐bus | 153 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Besides, | 117 |
| abstract_inverted_index.adopting | 159 |
| abstract_inverted_index.approach | 48 |
| abstract_inverted_index.compared | 181 |
| abstract_inverted_index.enhances | 170 |
| abstract_inverted_index.existing | 185 |
| abstract_inverted_index.function | 25 |
| abstract_inverted_index.minimize | 28 |
| abstract_inverted_index.networks | 15 |
| abstract_inverted_index.obtained | 163 |
| abstract_inverted_index.proposed | 6, 126, 168 |
| abstract_inverted_index.scenario | 121 |
| abstract_inverted_index.solution | 174 |
| abstract_inverted_index.(MISOCP). | 22 |
| abstract_inverted_index.adjusting | 78 |
| abstract_inverted_index.curtailed | 30 |
| abstract_inverted_index.developed | 50, 136 |
| abstract_inverted_index.framework | 4, 138 |
| abstract_inverted_index.including | 70 |
| abstract_inverted_index.modelled. | 116 |
| abstract_inverted_index.objective | 24 |
| abstract_inverted_index.operating | 132 |
| abstract_inverted_index.performed | 149 |
| abstract_inverted_index.shedding, | 76 |
| abstract_inverted_index.solution. | 144 |
| abstract_inverted_index.strategy. | 104 |
| abstract_inverted_index.switching | 36, 54, 62 |
| abstract_inverted_index.considered | 123 |
| abstract_inverted_index.dependency | 108 |
| abstract_inverted_index.operations | 63 |
| abstract_inverted_index.regulation | 97 |
| abstract_inverted_index.simulation | 146 |
| abstract_inverted_index.conditions. | 133 |
| abstract_inverted_index.dispatching | 40 |
| abstract_inverted_index.distributed | 85 |
| abstract_inverted_index.environment | 157 |
| abstract_inverted_index.generations | 86 |
| abstract_inverted_index.operational | 44 |
| abstract_inverted_index.operations, | 37 |
| abstract_inverted_index.programming | 21 |
| abstract_inverted_index.restoration | 10 |
| abstract_inverted_index.uncertainty | 111 |
| abstract_inverted_index.dispatchable | 84 |
| abstract_inverted_index.distribution | 14 |
| abstract_inverted_index.optimization | 3, 137 |
| abstract_inverted_index.MATLAB/Yalmip | 156 |
| abstract_inverted_index.Self‐healing | 68 |
| abstract_inverted_index.second‐order | 19 |
| abstract_inverted_index.mixed‐integer | 18 |
| abstract_inverted_index.reconfiguration, | 73 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5049529181 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I23946033 |
| citation_normalized_percentile.value | 0.5773711 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |