A new optimal allocation of DGs in distribution networks by using coot bird optimization method

Energy Informatics

Table 4 Comparison of results for IEEE 33-bus system with three DG units

Method	Size (MW)	Location	Total DG Size (MW)	Total real power loss (kW)	Loss reduction (%)
Method 2 (Mahmoud et al. 2015)	0.9	6	2.52	81.05	61.59
	0.9	14
	0.72	31
EA (Mahmoud et al. 2015)	0.798	13	2.947	72.787	65.50
	1.099	24
	1.050	30
EA-OPF (Mahmoud et al. 2015)	0.802	13	2.947	72.787	65.50
	1.091	24
	1.054	30
AM-PSO (Kansal et al. 2016)	0.79	13	2.87	72.89	65.45
	1.07	24
	1.01	30
GA-PSO (Moradi and Abedini 2012)	1.2000	32	2.9880	103.40	50.99
	0.8630	16
	0.9250	11
GA-IWD (Moradi et al. 2014)	1.2214	11	3.1180	110.51	47.62
	0.6833	16
	1.2135	32
SA (Injeti and Kumar 2013)	1.1124	6	2.4677	82.03	61.12
	0.4874	18
	0.8679	30
KHA (Hussien et al. 2022)	0.8107	13	2.4885	75.412	64.26
	0.8368	25
	0.8410	30
BFOA (Kowsalya 2014)	0.6521	14	1.9176	89.90	57.38
	0.1984	18
	1.0672	32
IWO (Prabha and Jayabarathi 2016)	0.6247	14	1.7856	85.86	57.47
	0.1049	18
	1.0560	32
IA (Hung and Mithulananthan 2011)	0.9	6	2.52	81.05	61.62
	0.9	12
	0.72	31
LSF (Hung and Mithulananthan 2011)	0.720	18	2.430	85.07	59.68
	0.810	33
	0.900	25
BSOA (El-Fergany 2015)	0.632	13	1.669	89.05	57.79
	0.487	28
	0.550	31
QOTLBO (Sultana and Roy 2014)	0.8808	12	3.0114	74.101	64.88
	1.0592	24
	1.0714	29
SFS (Nguyen and Vo 2019)	0.802	13	2.947	72.79	65.50
	1.091	24
	1.054	30
CBOM	0.802	13	2.947	72.79	65.50
	1.091	24
	1.054	30