Modeling of small-signal stability margin constrained optimal power flow Article Swipe
Zheng Huang
,
Kewen Wang
,
Yi Wang
,
Fushuan Wen
,
Venkata Dinavahi
,
Jun Liang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijepes.2024.110338
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijepes.2024.110338
This paper presents a novel small-signal stability margin (SSSM) constrained optimal power flow model for generation dispatch to minimize the generation cost while retaining adequate SSSM. The SSSM constraint is described in terms of the total active load variation between an initial operating point and the critical point, which is located on the dynamic performance boundary of small-signal stability. From the existing SSSM model, where the steady-state equation and the small-signal stability equation are taken into account, a modified SSSM model is proposed to reduce the computational requirement. The sensitivity representation of SSSM with respect to operating parameters is newly derived, which makes it possible for the SSSM and steady-state optimization problems to be jointly solved. A joint solution approach is proposed to solve the small-signal stability margin constrained optimal power flow (SSSMC-OPF) model. Simulation results show that the proposed approach can effectively minimize the generation cost subject to retaining a certain level of SSSM. For an 8-machine 24-bus system and a modified practical 68-machine 2395-bus system, the generation costs of SSSMC-OPF are increased by 5.28% and 2.73%, respectively, but the SSSMs are improved by 45% and 14.41%, respectively, compared to the optimal power flow.
Related Topics
Concepts
Power flow
Stability (learning theory)
Control theory (sociology)
SIGNAL (programming language)
Margin (machine learning)
Power (physics)
Flow (mathematics)
Computer science
Electric power system
Mathematical optimization
Mathematics
Physics
Artificial intelligence
Machine learning
Programming language
Geometry
Quantum mechanics
Control (management)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ijepes.2024.110338
- OA Status
- gold
- Cited By
- 1
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403926421
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4403926421Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ijepes.2024.110338Digital Object Identifier
- Title
-
Modeling of small-signal stability margin constrained optimal power flowWork 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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2024-10-31Full publication date if available
- Authors
-
Zheng Huang, Kewen Wang, Yi Wang, Fushuan Wen, Venkata Dinavahi, Jun LiangList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ijepes.2024.110338Publisher 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/10.1016/j.ijepes.2024.110338Direct OA link when available
- Concepts
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Power flow, Stability (learning theory), Control theory (sociology), SIGNAL (programming language), Margin (machine learning), Power (physics), Flow (mathematics), Computer science, Electric power system, Mathematical optimization, Mathematics, Physics, Artificial intelligence, Machine learning, Programming language, Geometry, Quantum mechanics, Control (management)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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43Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.45% | 185 |
| abstract_inverted_index.For | 155 |
| abstract_inverted_index.The | 26, 88 |
| abstract_inverted_index.and | 44, 68, 108, 160, 176, 186 |
| abstract_inverted_index.are | 73, 172, 182 |
| abstract_inverted_index.but | 179 |
| abstract_inverted_index.can | 141 |
| abstract_inverted_index.for | 14, 105 |
| abstract_inverted_index.the | 19, 34, 45, 52, 60, 65, 69, 85, 106, 124, 138, 144, 167, 180, 191 |
| abstract_inverted_index.From | 59 |
| abstract_inverted_index.SSSM | 27, 62, 79, 92, 107 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.cost | 21, 146 |
| abstract_inverted_index.flow | 12, 131 |
| abstract_inverted_index.into | 75 |
| abstract_inverted_index.load | 37 |
| abstract_inverted_index.show | 136 |
| abstract_inverted_index.that | 137 |
| abstract_inverted_index.with | 93 |
| abstract_inverted_index.5.28% | 175 |
| abstract_inverted_index.SSSM. | 25, 154 |
| abstract_inverted_index.SSSMs | 181 |
| abstract_inverted_index.costs | 169 |
| abstract_inverted_index.flow. | 194 |
| abstract_inverted_index.joint | 117 |
| abstract_inverted_index.level | 152 |
| abstract_inverted_index.makes | 102 |
| abstract_inverted_index.model | 13, 80 |
| abstract_inverted_index.newly | 99 |
| abstract_inverted_index.novel | 4 |
| abstract_inverted_index.paper | 1 |
| abstract_inverted_index.point | 43 |
| abstract_inverted_index.power | 11, 130, 193 |
| abstract_inverted_index.solve | 123 |
| abstract_inverted_index.taken | 74 |
| abstract_inverted_index.terms | 32 |
| abstract_inverted_index.total | 35 |
| abstract_inverted_index.where | 64 |
| abstract_inverted_index.which | 48, 101 |
| abstract_inverted_index.while | 22 |
| abstract_inverted_index.(SSSM) | 8 |
| abstract_inverted_index.2.73%, | 177 |
| abstract_inverted_index.24-bus | 158 |
| abstract_inverted_index.active | 36 |
| abstract_inverted_index.margin | 7, 127 |
| abstract_inverted_index.model, | 63 |
| abstract_inverted_index.model. | 133 |
| abstract_inverted_index.point, | 47 |
| abstract_inverted_index.reduce | 84 |
| abstract_inverted_index.system | 159 |
| abstract_inverted_index.14.41%, | 187 |
| abstract_inverted_index.between | 39 |
| abstract_inverted_index.certain | 151 |
| abstract_inverted_index.dynamic | 53 |
| abstract_inverted_index.initial | 41 |
| abstract_inverted_index.jointly | 114 |
| abstract_inverted_index.located | 50 |
| abstract_inverted_index.optimal | 10, 129, 192 |
| abstract_inverted_index.respect | 94 |
| abstract_inverted_index.results | 135 |
| abstract_inverted_index.solved. | 115 |
| abstract_inverted_index.subject | 147 |
| abstract_inverted_index.system, | 166 |
| abstract_inverted_index.2395-bus | 165 |
| abstract_inverted_index.account, | 76 |
| abstract_inverted_index.adequate | 24 |
| abstract_inverted_index.approach | 119, 140 |
| abstract_inverted_index.boundary | 55 |
| abstract_inverted_index.compared | 189 |
| abstract_inverted_index.critical | 46 |
| abstract_inverted_index.derived, | 100 |
| abstract_inverted_index.dispatch | 16 |
| abstract_inverted_index.equation | 67, 72 |
| abstract_inverted_index.existing | 61 |
| abstract_inverted_index.improved | 183 |
| abstract_inverted_index.minimize | 18, 143 |
| abstract_inverted_index.modified | 78, 162 |
| abstract_inverted_index.possible | 104 |
| abstract_inverted_index.presents | 2 |
| abstract_inverted_index.problems | 111 |
| abstract_inverted_index.proposed | 82, 121, 139 |
| abstract_inverted_index.solution | 118 |
| abstract_inverted_index.8-machine | 157 |
| abstract_inverted_index.SSSMC-OPF | 171 |
| abstract_inverted_index.described | 30 |
| abstract_inverted_index.increased | 173 |
| abstract_inverted_index.operating | 42, 96 |
| abstract_inverted_index.practical | 163 |
| abstract_inverted_index.retaining | 23, 149 |
| abstract_inverted_index.stability | 6, 71, 126 |
| abstract_inverted_index.variation | 38 |
| abstract_inverted_index.68-machine | 164 |
| abstract_inverted_index.Simulation | 134 |
| abstract_inverted_index.constraint | 28 |
| abstract_inverted_index.generation | 15, 20, 145, 168 |
| abstract_inverted_index.parameters | 97 |
| abstract_inverted_index.stability. | 58 |
| abstract_inverted_index.(SSSMC-OPF) | 132 |
| abstract_inverted_index.constrained | 9, 128 |
| abstract_inverted_index.effectively | 142 |
| abstract_inverted_index.performance | 54 |
| abstract_inverted_index.sensitivity | 89 |
| abstract_inverted_index.optimization | 110 |
| abstract_inverted_index.requirement. | 87 |
| abstract_inverted_index.small-signal | 5, 57, 70, 125 |
| abstract_inverted_index.steady-state | 66, 109 |
| abstract_inverted_index.computational | 86 |
| abstract_inverted_index.respectively, | 178, 188 |
| abstract_inverted_index.representation | 90 |
| 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 | 0.7400000095367432 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.60419858 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |