Mid- to Long-Term Distribution System Planning Using Investment-Based Modeling Article Swipe
Ho-Sung Ryu
,
Woo‐Kyu Chae
,
H. J. Kim
,
Jintae Cho
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/en18143702
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/en18143702
This study presents a practical and scalable framework for the mid- to long-term distribution network planning that reflects real-world infrastructure constraints and investment requirements. While traditional methods often rely on simplified network models or reactive reinforcement strategies, the proposed approach introduces an investment-oriented planning model that explicitly incorporates physical elements such as duct capacity, pole availability, and installation feasibility. A linear programming (LP) formulation is adopted to determine the optimal routing and sizing of new facilities under technical constraints including voltage regulation, power balance, and substation capacity limits. To validate the model’s effectiveness, actual infrastructure and load data were used. The results show that the model can derive cost-efficient expansion strategies over a five-year horizon by prioritizing existing infrastructure use and flexibly adapting to spatial limitations. The proposed approach enables utility planners to make realistic, data-driven decisions and supports diverse scenario analyses through a modular structure. By embedding investment logic directly into the network model, this framework bridges the gap between high-level planning strategies and the engineering realities of distribution system expansion.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en18143702
- https://www.mdpi.com/1996-1073/18/14/3702/pdf?version=1752477319
- OA Status
- gold
- References
- 27
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4412389598Canonical identifier for this work in OpenAlex
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https://doi.org/10.3390/en18143702Digital Object Identifier
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Mid- to Long-Term Distribution System Planning Using Investment-Based ModelingWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-14Full publication date if available
- Authors
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Ho-Sung Ryu, Woo‐Kyu Chae, H. J. Kim, Jintae ChoList of authors in order
- Landing page
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https://doi.org/10.3390/en18143702Publisher landing page
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https://www.mdpi.com/1996-1073/18/14/3702/pdf?version=1752477319Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1996-1073/18/14/3702/pdf?version=1752477319Direct OA link when available
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Term (time), Investment (military), Distribution (mathematics), Computer science, Environmental science, Business, Mathematics, Political science, Physics, Mathematical analysis, Politics, Law, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(LP) | 62 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.data | 97 |
| abstract_inverted_index.duct | 52 |
| abstract_inverted_index.into | 151 |
| abstract_inverted_index.load | 96 |
| abstract_inverted_index.make | 133 |
| abstract_inverted_index.mid- | 10 |
| abstract_inverted_index.over | 111 |
| abstract_inverted_index.pole | 54 |
| abstract_inverted_index.rely | 28 |
| abstract_inverted_index.show | 102 |
| abstract_inverted_index.such | 50 |
| abstract_inverted_index.that | 16, 45, 103 |
| abstract_inverted_index.this | 155 |
| abstract_inverted_index.were | 98 |
| abstract_inverted_index.While | 24 |
| abstract_inverted_index.logic | 149 |
| abstract_inverted_index.model | 44, 105 |
| abstract_inverted_index.often | 27 |
| abstract_inverted_index.power | 82 |
| abstract_inverted_index.study | 1 |
| abstract_inverted_index.under | 76 |
| abstract_inverted_index.used. | 99 |
| abstract_inverted_index.actual | 93 |
| abstract_inverted_index.derive | 107 |
| abstract_inverted_index.linear | 60 |
| abstract_inverted_index.model, | 154 |
| abstract_inverted_index.models | 32 |
| abstract_inverted_index.sizing | 72 |
| abstract_inverted_index.system | 170 |
| abstract_inverted_index.adopted | 65 |
| abstract_inverted_index.between | 160 |
| abstract_inverted_index.bridges | 157 |
| abstract_inverted_index.diverse | 139 |
| abstract_inverted_index.enables | 129 |
| abstract_inverted_index.horizon | 114 |
| abstract_inverted_index.limits. | 87 |
| abstract_inverted_index.methods | 26 |
| abstract_inverted_index.modular | 144 |
| abstract_inverted_index.network | 14, 31, 153 |
| abstract_inverted_index.optimal | 69 |
| abstract_inverted_index.results | 101 |
| abstract_inverted_index.routing | 70 |
| abstract_inverted_index.spatial | 124 |
| abstract_inverted_index.through | 142 |
| abstract_inverted_index.utility | 130 |
| abstract_inverted_index.voltage | 80 |
| abstract_inverted_index.adapting | 122 |
| abstract_inverted_index.analyses | 141 |
| abstract_inverted_index.approach | 39, 128 |
| abstract_inverted_index.balance, | 83 |
| abstract_inverted_index.capacity | 86 |
| abstract_inverted_index.directly | 150 |
| abstract_inverted_index.elements | 49 |
| abstract_inverted_index.existing | 117 |
| abstract_inverted_index.flexibly | 121 |
| abstract_inverted_index.physical | 48 |
| abstract_inverted_index.planners | 131 |
| abstract_inverted_index.planning | 15, 43, 162 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.proposed | 38, 127 |
| abstract_inverted_index.reactive | 34 |
| abstract_inverted_index.reflects | 17 |
| abstract_inverted_index.scalable | 6 |
| abstract_inverted_index.scenario | 140 |
| abstract_inverted_index.supports | 138 |
| abstract_inverted_index.validate | 89 |
| abstract_inverted_index.capacity, | 53 |
| abstract_inverted_index.decisions | 136 |
| abstract_inverted_index.determine | 67 |
| abstract_inverted_index.embedding | 147 |
| abstract_inverted_index.expansion | 109 |
| abstract_inverted_index.five-year | 113 |
| abstract_inverted_index.framework | 7, 156 |
| abstract_inverted_index.including | 79 |
| abstract_inverted_index.long-term | 12 |
| abstract_inverted_index.model’s | 91 |
| abstract_inverted_index.practical | 4 |
| abstract_inverted_index.realities | 167 |
| abstract_inverted_index.technical | 77 |
| abstract_inverted_index.expansion. | 171 |
| abstract_inverted_index.explicitly | 46 |
| abstract_inverted_index.facilities | 75 |
| abstract_inverted_index.high-level | 161 |
| abstract_inverted_index.introduces | 40 |
| abstract_inverted_index.investment | 22, 148 |
| abstract_inverted_index.real-world | 18 |
| abstract_inverted_index.realistic, | 134 |
| abstract_inverted_index.simplified | 30 |
| abstract_inverted_index.strategies | 110, 163 |
| abstract_inverted_index.structure. | 145 |
| abstract_inverted_index.substation | 85 |
| abstract_inverted_index.constraints | 20, 78 |
| abstract_inverted_index.data-driven | 135 |
| abstract_inverted_index.engineering | 166 |
| abstract_inverted_index.formulation | 63 |
| abstract_inverted_index.programming | 61 |
| abstract_inverted_index.regulation, | 81 |
| abstract_inverted_index.strategies, | 36 |
| abstract_inverted_index.traditional | 25 |
| abstract_inverted_index.distribution | 13, 169 |
| abstract_inverted_index.feasibility. | 58 |
| abstract_inverted_index.incorporates | 47 |
| abstract_inverted_index.installation | 57 |
| abstract_inverted_index.limitations. | 125 |
| abstract_inverted_index.prioritizing | 116 |
| abstract_inverted_index.availability, | 55 |
| abstract_inverted_index.reinforcement | 35 |
| abstract_inverted_index.requirements. | 23 |
| abstract_inverted_index.cost-efficient | 108 |
| abstract_inverted_index.effectiveness, | 92 |
| abstract_inverted_index.infrastructure | 19, 94, 118 |
| abstract_inverted_index.investment-oriented | 42 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5080268639 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I198972184 |
| citation_normalized_percentile.value | 0.29645518 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |