From: A new optimal allocation of DGs in distribution networks by using coot bird optimization method
Method | Size (MW) | Location | PF | Total real power loss (kW) | Loss reduction (%) |
---|---|---|---|---|---|
Method 2 (Mahmoud et al. 2015) | 0.34 | 11 | 1 | 69.97 | 68.90 |
0.51 | 17 | 1 | |||
1.7 | 61 | 1 | |||
EA (Mahmoud et al. 2015) | 0.467 | 11 | 1 | 69.62 | 69.06 |
0.38 | 18 | 1 | |||
1.795 | 61 | 1 | |||
AM-PSO (Kansal et al. 2016) | 0.51 | 11 | 1 | 69.54 | 69.09 |
0.38 | 17 | 1 | |||
1.67 | 61 | 1 | |||
LSM (Kollu et al. 2014) | 0.4168 | 27 | 1 | 73.60 | 67.28 |
1.6026 | 61 | 1 | |||
0.1966 | 65 | 1 | |||
GA-PSO (Kansal et al. 2016) | 0.9105 | 21 | 1 | 81.1 | 63.95 |
1.1926 | 61 | 1 | |||
0.8849 | 63 | 1 | |||
GA-IWD (Moradi and Abedini 2012) | 0.9115 | 20 | 1 | 80.91 | 64.04 |
1.3926 | 61 | 1 | |||
0.8059 | 64 | 1 | |||
SA (Injeti and Kumar 2013) | 0.4204 | 18 | 1 | 77.1 | 65.73 |
1.3311 | 60 | 1 | |||
0.4298 | 65 | 1 | |||
KHA (Sultana and Roy 2016) | 0.4962 | 12 | 1 | 69.563 | 69.08 |
0.3113 | 22 | 1 | |||
1.7354 | 61 | 1 | |||
BFOA (Kowsalya 2014) | 0.2954 | 27 | 1 | 75.23 | 66.56 |
1.3451 | 61 | 1 | |||
0.4476 | 65 | 1 | |||
IWO (Prabha and Jayabarathi 2016) | 0.2381 | 27 | 1 | 74.59 | 66.78 |
1.3266 | 61 | 1 | |||
0.4334 | 65 | 1 | |||
QOTLBO (Sultana and Roy 2014) | 0.8114 | 15 | 1 | 80.585 | 64.18 |
1.1470 | 61 | 1 | |||
1.002 | 63 | 1 | |||
SFS (Nguyen and Vo 2019) | 0.527 | 11 | 1 | 69.43 | 69.14 |
0.380 | 18 | 1 | |||
1.719 | 61 | 1 | |||
CBOM | 0.527 | 11 | 1 | 69.428 | 69.143 |
0.380 | 18 | 1 | |||
1.719 | 61 | 1 |