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- W4310521330 abstract "Submodule capacitors are the most critical components for the safe operation of modular multilevel converters (MMCs). It is very challenging to accurately monitor the capacitor states without interrupting the system's normal operation. This paper develops a novel non-intrusive capacitance monitoring algorithm without adding external sensors. The inherent voltage and current relationship of MMCs are analyzed, and an image identification method is proposed to identify the correct inserted time window of submodules (SMs). The normal distribution method is used to minimize the errors and search for the optimal capacitance. A 7-level full-scale MMC model is established to validate the effectiveness of the proposed method. Results show that the proposed one monitors the SM capacitance with the maximum error <1% and can be extended to all SMs' capacitance." @default.
- W4310521330 created "2022-12-11" @default.
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- W4310521330 date "2022-10-09" @default.
- W4310521330 modified "2023-09-28" @default.
- W4310521330 title "Non-Intrusive Condition Monitoring of Submodule Capacitance of Modular Multilevel Converter with Image Identification Method" @default.
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- W4310521330 doi "https://doi.org/10.1109/ecce50734.2022.9947803" @default.
- W4310521330 hasPublicationYear "2022" @default.
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