Application of a Hybrid Model of Big Data and BP Network on Fault Diagnosis Strategy for Microgrid

Table 1

Some multisource feature eigenvectors.

Fault type	Fault position (%)	Feature eigenvector
AG	10	16.110, 4.3607, 0.0810, 0.1037, 23.616, 0.7045, 0.1075, 0.0562, 21.344, 0.5773, 0.0865, 0.0411, 56.320, 0.8069, 0.5211, 0.04385
AG	50	84.916, 0.4371, 0.0114, 0.0135, 22.398, 0.4777, 0.1000, 0.0537, 21.780, 0.3528, 0.0795, 0.0390, 125.102, 1.0972, 0.3917, 0.0846
ABG	10	17.934, 3.8371, 0.1305, 0.4891, 16.407, 3.3080, 0.2022, 0.1636, 15.357, 0.6490, 0.0887, 0.0665, 51.105, 0.9281, 0.5371, 0.0721
ABG	50	11.619, 1.2852, 0.0338, 0.1220, 10.578, 1.2189, 0.1338, 0.1893, 19.462, 0.4162, 0.0817, 0.0453, 59.219, 1.036, 0.9024, 0.06901
ABG	85	86.968, 0.2493, 0.0066, 0.0189, 80.033, 0.7853, 0.1145, 0.1464, 21.326, 0.3413, 0.0782, 0.0403, 129.264, 1.5973, 0.7941, 0.1026
AB	10	14.133, 4.2099, 0.0692, 0.1754, 14.353, 4.6465, 0.1665, 0.2262, 25.090, 0.3239, 0.0775, 0.0377, 22.683, 0.9251, 0.0529, 0.0904
AB	85	76.814, 1.0975, 0.0360, 0.1069, 76.832, 1.5341, 0.1328, 0.1570, 25.102, 0.3247, 0.0777, 0.0378, 110.469, 2.1963, 0, 9625, 0.0805
ABC	10	18.660, 1.1549, 0.0750, 0.4304, 17.224, 2.7162, 0.1434, 0.2369, 17.290, 2.7340, 0.1746, 0.5255, 59.132, 1.6938, 0.9934, 0.0982
ABC	70	10.779, 0.3454, 0.0274, 0.0971, 10.100, 1.7274, 0.1197, 0.1159, 10.127, 1.0555, 0.1089, 0.1373, 49.669, 1.0394, 0.6392, 0.0872
ABCG	10	18.615, 3.6540, 0.0415, 0.3515, 17.163, 3.3278, 0.1675, 0.3161, 17.579, 4.5462, 0.1377, 0.5702, 38.672, 0.9821, 0.0923, 0.0639
ABCG	70	10.766, 1.2417, 0.0176, 0.0644, 10.077, 1.9576, 0.1250, 0.1326, 10.210, 1.1433, 0.0915, 0.0571, 44.971, 0.7953, 0.0926, 0.0481
Normal		25.098, 0.0126, 0.0012, 0.0015, 25.088, 0.4485, 0.0973, 0.0522, 25.090, 0.3239, 0.0775, 0.0377, 64.925, 1.0369, 0.9835, 0.0485