The DOI matches its Crossref record.
Grid-Forming Inverters: Are They the Key for High Renewable Penetration?
Abstract
In regions such as Hawai'i, South Australia, Tasmania, Texas, and Ireland, power systems are commonly experiencing instantaneous penetration levels of inverter-based power sources (IBPSs) such as wind, solar photovoltaics (PV), and battery storage in excess of 50-60% relative to system demands.
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Citations
Cited by
A Review of Current-Limiting Control of Grid-Forming Inverters Under Symmetrical Disturbances
Fan, B., Liu, T., Zhao, F., Wu, H., & Wang, X. (2022) · IEEE Open Journal of Power Electronics · doi:10.1109/ojpel.2022.3227507 · Cited by 371
Rosso, R., Engelken, S., & Liserre, M. (2021) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2021.3095025 · Cited by 126
Gerini, F., Zuo, Y., Gupta, R., Zecchino, A., Yuan, Z., Vagnoni, E., Cherkaoui, R., & Paolone, M. (2022) · Electric Power Systems Research · doi:10.1016/j.epsr.2022.108567 · Cited by 35
Metadata
- Authors
- Matevosyan, J., Badrzadeh, B., Prevost, T., Quitmann, E., Ramasubramanian, D., Urdal, H., Achilles, S., MacDowell, J., Huang, S. H., Vital, V., O’Sullivan, J., & Quint, R.
- Venue
- IEEE Power and Energy Magazine
- Published
- 2019-11
- Volume
- 17
- Issue
- 6
- Pages
- 89-98
- ISSN
- 1540-7977 (ISSN-L)
- 1558-4216
- OpenAlex
- W2982237125
- Cited by
- 472
- References
- 0
- FWCI
- 22.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Grid-Forming Inverters: Are They the Key for High Renewable Penetration? https://app.cochat.ai/papers/10.1109/mpe.2019.2933072
- The paper
- Matevosyan, J., Badrzadeh, B., Prevost, T., Quitmann, E., Ramasubramanian, D., Urdal, H., Achilles, S., MacDowell, J., Huang, S. H., Vital, V., O’Sullivan, J., & Quint, R. (2019). Grid-Forming Inverters: Are They the Key for High Renewable Penetration? IEEE Power and Energy Magazine. https://doi.org/10.1109/mpe.2019.2933072
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
