Table 18 Multi-objective ORPD evaluted cases with time-varying demand and uncertain renewable power with STATCOM (IEEE 118 bus system).

From: Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization

Scenario no.

Scenario-based Ploss (MW)

Scenario-based VD (p.u.

Scenario-based VSI

Objective value \(LVDVSI_{obj}\)= \(\lambda _l~P_{loss}\)+\(\lambda _{vd}VD\)+\(\lambda _{vsi}VSI\)) (Case 26)

1

112.563

0.7723

0.1799

122.0852

2

118.452

0.7998

0.1901

128.3511

3

110.563

0.7003

0.1634

119.2002

4

98.674

0.6896

0.1567

107.1367

5

110.563

0.7345

0.1775

119.6832

6

123.003

0.7998

0.1799

132.7997

7

111.783

0.7562

0.1776

121.1212

8

113.674

0.7667

0.1756

123.0973

9

120.453

0.7873

0.1811

130.1372

10

132.784

0.8113

0.1845

142.7423

11

109.897

0.6998

0.1723

118.6181

12

99.663

0.6887

0.1698

108.2477

13

113.983

0.7564

0.1765

123.3122

14

98.672

0.7206

0.1788

107.6664

15

88.672

0.7012

0.1699

97.3833

16

130.785

0.8011

0.1823

140.6185

17

79.537

0.6782

0.1742

88.0606

18

89.453

0.7223

0.1778

98.4536

19

123.009

0.7889

0.1823

132.7212

20

90.675

0.7499

0.1811

99.9854

21

125.563

0.8012

0.1878

135.4533

22

90.783

0.7167

0.1781

99.7312

23

84.784

0.7012

0.1703

93.4993

24

86.112

0.7011

0.1745

94.8683

25

100.673

0.7671

0.1802

110.1462

  

Case 26

 

EAPL=\(\sum \Delta\)sc\(\cdot\)APL=

95.8387MW

 

EAVD= \(\sum \Delta\)sc\(\cdot\)AVD=

0.7275 p.u.

 

EVSI=\(\sum \Delta\)sc\(\cdot\)VSI=

0.1774

 

\(\lambda _l=1\);

\(\lambda _{vd}=10\);

\(\lambda _{vsi}=10\)

  
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