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Table 4 Comparison of classifier methods

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