DC Power Control Strategy of MMC for Commutation Failure Prevention in Hybrid Multi-Terminal HVDC System Article Swipe
Choongman Lee
,
Jae Woong Shim
,
Heejin Kim
,
Kyeon Hur
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.3027699
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.3027699
This article presents a control strategy for a modular multilevel converter (MMC) to prevent commutation failure of a line-commutated converter (LCC), forming a three-terminal hybrid HVDC transmission system, where one LCC sending end is connected to the large generation and two receiving ends (LCC inverter and MMC) are located near the load center. This configuration, one of the potential options, has been proposed to strengthen Korea electric power transmission system through the optimized use of existing assets and rights-of-way, extremely challenging to secure. The MMC power control strategy has been developed to regulate the AC voltage and the extinction angle of the LCC inverter. This indirect yet effective active and reactive power control of the LCC inverter terminal helps prevent the commutation failure (CF) of the LCC in emergency and maximize the benefits of the costly planning option. By establishing a theoretical foundation for this power control problem and relationship among the control parameters, we quantify the active power reference for MMC to secure the desired LCC extinction angle. A coordinated strategy has been developed for the AC filter, the on-load tap changer of a transformer, along with the MMC control to lower the risk of CF and its catastrophic impact on the whole power system. The validity and performance of the proposed control methods are demonstrated for the real Korea electric power planning cases using a real-time power system simulator.
Related Topics
Concepts
Commutation
Modular design
Inverter
Transformer
AC power
Electric power system
Tap changer
Computer science
Control theory (sociology)
Power control
Electric power transmission
High-voltage direct current
Power transmission
Engineering
Voltage
Power (physics)
Control (management)
Electrical engineering
Direct current
Operating system
Artificial intelligence
Physics
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2020.3027699
- https://ieeexplore.ieee.org/ielx7/6287639/8948470/09208670.pdf
- OA Status
- gold
- Cited By
- 9
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3091540247
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3091540247Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2020.3027699Digital Object Identifier
- Title
-
DC Power Control Strategy of MMC for Commutation Failure Prevention in Hybrid Multi-Terminal HVDC SystemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Choongman Lee, Jae Woong Shim, Heejin Kim, Kyeon HurList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2020.3027699Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/8948470/09208670.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/ielx7/6287639/8948470/09208670.pdfDirect OA link when available
- Concepts
-
Commutation, Modular design, Inverter, Transformer, AC power, Electric power system, Tap changer, Computer science, Control theory (sociology), Power control, Electric power transmission, High-voltage direct current, Power transmission, Engineering, Voltage, Power (physics), Control (management), Electrical engineering, Direct current, Operating system, Artificial intelligence, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2, 2023: 3, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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