Table 7 Results comparison of Scenarios# 1, and 2 for modified 33-bus distribution network.

From: A new multi-objective-stochastic framework for reconfiguration and wind energy resource allocation in distribution network incorporating improved dandelion optimizer and uncertainty

Method/Item

Deterministic-MORWTA

Stochastic-MORWTA

Change (%)

Opened switches

10, 20, 28, 30, 35

7, 11, 28, 34, 36

–

PV location (@bus)/Size (kW)/p.f

@7/894/0.86

@7/926/0.88

–

Power loss (kW)

112.79

137.94

22.30 \(\uparrow\)

Voltage sag (p.u)

0.42

0.49

16.67 \(\uparrow\)

THD (%)

0.1725

0.1964

13.86 \(\uparrow\)

Voltage unbalance (%)

2.07

2.39

15.46 \(\uparrow\)

Energy not-supplied (MWh)

5.13

5.68

10.72 \(\uparrow\)

SAIFI (failure/customer/yr)

1.18

1.30

10.17 \(\uparrow\)

SAIDI (hour/customer/yr)

1.03

1.15

11.65 \(\uparrow\)

MAIFI (mom/customer/yr)

2.38

2.75

15.55 \(\uparrow\)

Objective function

0.6715

0.7213

7.42 \(\uparrow\)

  1. *\(\uparrow\) refers to the increasing.
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