Table 14 Optimum RES allocation for the 30-bus grid to minimize the fuel costs.

From: Application of modified artificial hummingbird algorithm in optimal power flow and generation capacity in power networks considering renewable energy sources

Methods

DG location

DG size

\({\mathrm{F}}_{\mathrm{cost}}\)

\({\mathrm{P}}_{\mathrm{loss}}\)

VD

Iterations time (s)

MW

MVAr

Base Case

–

–

–

11,214.41

5.82226

1.14965

–

AHA

27

47.818

24.865

775.9475

4.40901

0.66019

41.366

HHO

25

48.414

19.661

803.5182

4.40839

0.63996

88.2

mAHA

27

47.818

24.525

775.9469

4.40671

0.66218

40.84

RUN

27

47.818

24.525

775.9475

4.39242

0.68333

68.552

SCA

27

47.818

24.525

776.1083

5.02961

0.67083

47.8

SMA

27

47.812

23.937

775.9472

4.40295

0.66564

47.7

TSA

27

47.812

23.937

775.9469

5.04228

0.65895

28

WOA

27

47.812

23.937

782.0199

4.38679

0.65793

31.6

AHA49

25

48.464

24.44

776.0242

5.09091

0.63354

–