Table 4 OPF results by proposed HDRL-QIGA model (with renewable integration).

From: A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems

Metric

Case 1 (fuel cost)

Case 2 (power loss)

Case 3 (voltage profile)

Case 4 (combined)

PG1

140.0

45.0

100.0

100.0

PG2

40.0

30.0

45.0

40.0

PPV5

15.0

50.0

25.0

25.0

PWT8

10.0

35.0

15.0

20.0

PPV11

10.0

25.0

20.0

20.0

PWT13

12.0

40.0

20.0

15.0

VG1

1.08

1.06

1.02

1.03

VG2

1.05

1.05

1.01

1.02

VG5

1.02

1.02

1.02

0.99

VG8

1.03

1.04

1.01

0.99

VG11

0.99

1.07

1.03

1.05

VG13

0.96

1.04

1.00

1.00

QC10

2.2

4.6

1.6

2.3

QC12

1.8

2.1

1.5

1.6

QC15

2.8

2.5

1.8

1.9

QC17

2.6

1.8

3.4

1.7

QC20

2.5

1.5

0.2

2.0

QC21

2.9

2.7

4.8

4.9

QC23

1.4

4.0

4.8

3.6

QC24

2.5

3.5

4.5

5.0

QC29

3.7

3.7

1.8

1.4

Fuel cost ($)

620.45

730.0

670.0

650.0

Power loss (MW)

5.0

1.8

5.3

3.5

Voltage deviation

0.67

0.74

0.08

0.07