Full
Outline
By combing the multi-level technology with the cascade modular technology, the T-cascade modular multilevel converter (TMMC) has characteristics such as 9-level port voltage, redundant switching mode, multiple power ports and hardware multiplexing, and it has become one of the ideal topologies for realizing uninterruptible power supply (UPS) with high power density and high efficiency. However, the large number of DC-link capacitors which are susceptible to failures poses a threat to the reliable operation of TMMC-UPS. Therefore, it is necessary to monitor DC-link capacitors under the scenario of TMMC-UPS to intelligently perceive the changes in the capacitance value and prevent the degradation failure of capacitors, so as to ensure the reliability of UPS. Therefore, a double-scale convolutional neural network model is proposed. By extracting the low- and medium-frequency features of capacitor voltage ripple, both the capacitance value and the equivalent series resistance can be identified, thus improving the monitoring accuracy of capacitor status. The proposed data-driven method does not rely on any mathematical model, and it does not need to add additional measurement hardware either, so it can be easily extended to the parameter identification field of other types of converters.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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