Reactive Power Optimization Model for Distribution Networks Based on the Second-Order Cone and Interval Optimization Article Swipe
Minsheng Yang
,
Jianqi Li
,
Rui Du
,
Jianying Li
,
Jian Sun
,
Xiaofang Yuan
,
Jiazhu Xu
,
Shifu Huang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/en15062235
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/en15062235
Traditional reactive power optimization mainly considers the constraints of active management elements and ignores the randomness and volatility of distributed energy sources, which cannot meet the actual demand. Therefore, this paper establishes a reactive power optimization model for active distribution networks, which is solved by a second-order cone relaxation method and interval optimization theory. On the one hand, the second-order cone relaxation technique transforms the non-convex optimal dynamic problem into a convex optimization model to improve the solving efficiency. On the other hand, the interval optimization strategy can solve the source–load uncertainty problem in the distribution network and obtain the interval solution of the optimization problem. Specially, we use confidence interval estimation to shorten the interval range, thereby improving the accuracy of the interval solution. The model takes the minimum economy as the objective function and considers a variety of active management elements. Finally, the modified IEEE 33 node arithmetic example verifies the feasibility and superiority of the interval optimization algorithm.
Related Topics
Concepts
Mathematical optimization
Interval (graph theory)
Relaxation (psychology)
Optimization problem
AC power
Convex optimization
Range (aeronautics)
Mathematics
Randomness
Second-order cone programming
Computer science
Regular polygon
Power (physics)
Engineering
Psychology
Quantum mechanics
Combinatorics
Statistics
Physics
Aerospace engineering
Social psychology
Geometry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en15062235
- https://www.mdpi.com/1996-1073/15/6/2235/pdf?version=1647830756
- OA Status
- gold
- Cited By
- 6
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220839358
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4220839358Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en15062235Digital Object Identifier
- Title
-
Reactive Power Optimization Model for Distribution Networks Based on the Second-Order Cone and Interval OptimizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-18Full publication date if available
- Authors
-
Minsheng Yang, Jianqi Li, Rui Du, Jianying Li, Jian Sun, Xiaofang Yuan, Jiazhu Xu, Shifu HuangList of authors in order
- Landing page
-
https://doi.org/10.3390/en15062235Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/15/6/2235/pdf?version=1647830756Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1996-1073/15/6/2235/pdf?version=1647830756Direct OA link when available
- Concepts
-
Mathematical optimization, Interval (graph theory), Relaxation (psychology), Optimization problem, AC power, Convex optimization, Range (aeronautics), Mathematics, Randomness, Second-order cone programming, Computer science, Regular polygon, Power (physics), Engineering, Psychology, Quantum mechanics, Combinatorics, Statistics, Physics, Aerospace engineering, Social psychology, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
22Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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