Reactive power potential of converter-connected renewables using convex power flow optimization Article Swipe
Aeishwarya Baviskar
,
Anca Daniela Hansen
,
Kaushik Das
,
Firdous Ul Nazir
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijepes.2023.109193
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijepes.2023.109193
Converter-connected renewable energy sources (RES) in the distribution network alter the power flow in the network. Often, grid reinforcements and additional local reactive power sources are needed to maintain steady state network operation. Converter-connected RES is an accessible local reactive power source for distribution system operators to optimize network operations. However, the non-linearity and non-convexity in the converter equations make their modelling challenging, which further results in the under-utilization of the reactive power capability from these sources. Oftentimes, the converter-connected generator is partially modelled using only apparent power constraints. This paper presents an approach based on Schur's complement and piecewise planar approximation to incorporate the converter equations in a convex power flow optimization routine. The advantages of employing complete converter capabilities for optimal operation of the distribution network are studied via simulations on a real distribution network dataset. A comparison between deploying reactive power according to the minimum grid codes requirement, partial modelling of the converter, and complete converter capabilities is correspondingly presented. Active power losses decrease by 4.1% over 10 month period with high penetration of renewable generation. Furthermore, the voltage profile in the distribution network is improved and the reactive power dependency on the transmission network is reduced.
Related Topics
Concepts
Power flow
Renewable energy
AC power
Power (physics)
Regular polygon
Flow (mathematics)
Convex optimization
Mathematical optimization
Control theory (sociology)
Computer science
Electrical engineering
Electric power system
Mathematics
Engineering
Physics
Voltage
Quantum mechanics
Artificial intelligence
Geometry
Control (management)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ijepes.2023.109193
- OA Status
- hybrid
- Cited By
- 10
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4378713872
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4378713872Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ijepes.2023.109193Digital Object Identifier
- Title
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Reactive power potential of converter-connected renewables using convex power flow optimizationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-05-29Full publication date if available
- Authors
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Aeishwarya Baviskar, Anca Daniela Hansen, Kaushik Das, Firdous Ul NazirList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ijepes.2023.109193Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.ijepes.2023.109193Direct OA link when available
- Concepts
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Power flow, Renewable energy, AC power, Power (physics), Regular polygon, Flow (mathematics), Convex optimization, Mathematical optimization, Control theory (sociology), Computer science, Electrical engineering, Electric power system, Mathematics, Engineering, Physics, Voltage, Quantum mechanics, Artificial intelligence, Geometry, Control (management)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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