Table 8 optimum values for different case studies in mitigating generation cost for a 33-bus system using the ILOA algorithm.

From: Improved Lyrebird optimization for multi microgrid sectionalizing and cost efficient scheduling of distributed generation

Variables

Case_1

Case_2

Case_3

Case_4

Case_5

Case_6

Case_7

\({P}_{G1}\)

165.2085

267.3759

325.7942

318.9853

\({P}_{G2}\)

197.5207

193.0362

198.8326

197.7649

\({P}_{G3}\)

97.9826

98.87462

99.9988

99.1754

\({P}_{G4}\)

274.1286

260.5027

339.7109

301.8093

\({P}_{G5}\)

660.9784

619.5326

747.2081

715.0782

\({P}_{G6}\)

479.4947

437.4269

539.0284

488.5013

\({P}_{G7}\)

462.0945

437.2187

441.8608

437.8096

\({P}_{G8}\)

641.2894

543.8913

580.4096

562.3857

\({P}_{G9}\)

779.4851

702.1872

698.0731

665.7028

\({P}_{Loss}(\text{kW})\)

0.7118

9.6017

33.0889

11.74892

54.2446

34.9691

72.2125

\({Q}_{Loss}(\text{kVAr})\)

0.661943

7.682567

26.02592

8.3609

40.9826

25.8093

49.5107

\(\text{Cost}(\text{\$}/\text{hr})\)

19,254.64

70,900.83

97,915.95

89,443.86

1,68,662.74

1,15,061.66

1,87,645.04