| Autor: |
Sicheng Gong, Vladimir Cuk, J.F.G. Cobben |
| Přispěvatelé: |
Electrical Energy Systems, Cyber-Physical Systems Center Eindhoven, EAISI Foundational, EAISI High Tech Systems, Power Conversion |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
IEEE Transactions on Power Delivery, 38(1), 397-408. Institute of Electrical and Electronics Engineers |
| ISSN: |
0885-8977 |
| DOI: |
10.36227/techrxiv.20059358.v1 |
| Popis: |
This paper proposes a novel framework for modular multilevel converter (MMC) current harmonic emission estimation from medium voltage (MV) charging stations. The framework is enlightened by wave decomposition, exploiting an analytical derivation of the emission, without a time-domain model. Accordingly, voltage harmonic distribution in grids can be estimated with a frequency-domain model, using the estimated voltage-dependent current emission in the iterations. Compared to conventional time-domain simulation, such method not only enables analytical harmonic estimation integrated with a large load-flow model, but also benefits from the potential of distributed computation. A 10.5kV grid-tied single-phase half-bridge MMC simulation case on PLECS has been implemented and investigated for comparison. Corresponding results revealed that the estimated harmonic series kept the absolute average difference to the PLECS model lower than 0.02% and a correlation ratio higher than 99.990% with the simulated ones. The effectiveness of the proposed estimation framework is successfully verified. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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