Active Power Coordination for a Large Population of Grid-Forming and Grid-Following Inverters Based on Mean Field Games Theory Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1109/access.2023.3307634
In a grid with a high proportion of renewable energy, the coordinated control between grid-forming (GFM) and grid-following (GFL) inverters becomes crucial for maintaining aspects such as frequency and voltage regulation. This paper presents a decentralized competitive power coordination scheme, designed for a large-scale networked inverter system based on the Mean Field Games (MFG) concept. This scheme effectively harmonizes GFM and GFL inverters to achieve both frequency recovery and active power distribution within the distribution network. Each inverter devises its optimal active power control strategy by maximizing a frequency-constrained revenue function. Through the market price, each inverter’s control strategy influences others’ strategies. Importantly, this scheme simplifies the interaction among inverters by averaging the impacts generated by each inverter’s control strategies. For the MFG control scheme, a decentralized policy iteration algorithm is proposed, eliminating the need for information exchange between inverters and significantly decreasing the communication burden. The effectiveness of the proposed control framework is corroborated using the IEEE 33 test system.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2023.3307634
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10226212.pdf
- OA Status
- gold
- Cited By
- 3
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386065477
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386065477Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2023.3307634Digital Object Identifier
- Title
-
Active Power Coordination for a Large Population of Grid-Forming and Grid-Following Inverters Based on Mean Field Games TheoryWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Nuo Xu, Xiaodong Chu, Hua YeList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2023.3307634Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/10226212.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/10226212.pdfDirect OA link when available
- Concepts
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Grid, Computer science, Game theory, Field (mathematics), Population, Power (physics), Power grid, Mean field theory, Mathematical optimization, Mathematics, Mathematical economics, Physics, Geometry, Sociology, Pure mathematics, Quantum mechanics, DemographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2, 2023: 1Per-year citation counts (last 5 years)
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-
47Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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