The state of the DC system of substation is directly related to the normal operation of the substation. A new method for ground fault detection in substation DC systems,which is a combination of double-tree complex wavelet transform and singular value decomposition,was proposed to achieve fast and accurate location of ground faults occurring in substation DC systems. Firstly,the method constructed a Hankel matrix to decompose the branch current signal through a dual-tree complex wavelet transform(DT-CWT). Secondly,the Hankel matrix was decomposed by the singular value decomposition(SVD)method with the aim of obtaining a series of singular eigenvalues. Thirdly,the singular value difference spectrum was constructed using the adjacent singular value differences,and the number of singular values was retained by the maximum peak of the singular value difference spectrum. Finally,the low-frequency signal was reconstructed by the retained singular values. The analysis results of the algorithm show that the method can accurately extract the low-frequency AC signal from the branch current signal and achieve the accurate location of the DC system ground fault in the substation,which can largely reduce the influence of the ground capacitance on the detection accuracy.
| 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 |