From: Shifting of research trends in islanding detection method - a comprehensive survey
Classifier | Ref. | Signal processing method applied | No. of input features | DG type | Multi DG considered | Nuisance tripping percentage | Strength of the classifier | Shortcoming of the classifier |
---|---|---|---|---|---|---|---|---|
DT | 87 | – | 2 | Synchronous | Yes | 16.6 | Fast training | Unfit for cases having lot of un-correlated variables |
91 | DWT | 6 | Not specified | Yes | 2 | |||
92 | – | 7 | Synchronous | Yes | 0 | |||
FL | 95 | – | 2 | Synchronous | No | 0 | Easily interpretable | Not robust |
96 | – | 3 | Synchronous | No | 0 | |||
ANN | 100 | – | 2 | Synchronous | Yes | 11.1 | Easy implementation | Huge cases required for proper training |
101 | DWT | 3 | PV | Yes | 2.55 | |||
102 | DWT | 4 | Wind | No | 1.01 | |||
PNN | 104 | DWT | 6 | Not specified | Yes | 11 | ||
MPNN | 108 | ST | 11 | PV, fuel cell and wind | Yes | 3.6 | ||
ENN | 109 | – | 12 | PV | No | 1.6 | ||
BPNN | 110 | WPT | 13 | PV | No | 1.43 | ||
SVM | 108 | ST | 3 | PV, fuel cell and wind | Yes | 2.33 | Minimized training error | Choice of proper hyper parameters is cumbersome |
73 | ST/ HST/ TTT / MM | 4 | PV and wind | Yes | 4.125/ 2.775/ 1.725/ 1.3 | |||
ANFIS | 114 | DWT | 3 | Not specified | No | 0 | No requirement of mathematical models | Both the knowledge of ANN and Fuzzy is required |
115 | – | 4 | DFIG | Yes | 0 | |||
117 | DWT | 6 | Diesel, wind and Ni-Cd battery | Yes | 0 |