Table 1.
Contributions and limitations of recently developed hybrid techniques for DG allocation.
Table 2.
Prominent differences in features amid AOA and SSA.
Fig 1.
Comparison of position updating coefficients in SSA and AOA.
Fig 2.
Flow chart of parallel operated hybrid AOASSA.
Table 3.
Parameters of the optimization problem and hybrid AOASSA.
Fig 3.
Pseudo code of parallel operated hybrid AOASSA.
Table 4.
Cases based on number of DG allocation units.
Fig 4.
IEEE 33-Bus radial distribution network.
Table 5.
Performance of proposed AOASSA on 33 Bus RDN with multiple DGs.
Fig 5.
Convergence characteristics of contending optimization techniques for optimal allocation of single DG unit in the 33-bus RDN.
Fig 6.
Convergence characteristics of contending optimization techniques for optimal allocation of two DG units in the 33-bus RDN.
Fig 7.
Convergence characteristics of contending optimization techniques for optimal allocation of three DG units in the 33-bus RDN.
Table 6.
Convergence speed of proposed algorithms with multiple DG allocation units.
Table 7.
Statistical superiority of proposed AOASSA.
Fig 8.
Annual financial losses for three cases with different optimization techniques.
Fig 9.
Comparative analysis of the AOASSA against the competitive optimization algorithms for the optimal allocation of (a) Single DG unit, (b) two DG units, (c) three DG units in the 33-bus RDN.
Table 8.
Optimal capacities and positions of DGs in the 33-bus distribution network for proposed and benchmarked algorithms.
Fig 10.
Comparative analysis of the AOASSA against the competitive optimization algorithms for the optimal allocation of (a) Single DG unit, (b) two DG units, (c) three DG units in the 33-bus RDN.
Table 9.
Performance of the proposed AOASSA in 69-bus RDN with single and multiple DGs.
Fig 11.
Convergence characteristics of contending optimization techniques for optimal allocation of single DG unit in the 69-bus RDN.
Fig 12.
Convergence characteristics of contending optimization techniques for optimal allocation of two DG units in the 69-bus RDN.
Fig 13.
Convergence characteristics of contending optimization techniques for optimal allocation of three DG units in the 69-bus RDN.
Table 10.
Convergence speed of proposed algorithms with multiple DG allocation units.
Table 11.
Statistical superiority of AOASSA.
Fig 14.
Annual financial losses with multiple DG units for different algorithms.
Fig 15.
Comparative analysis of the AOASSA against the competitive optimization algorithms for the optimal allocation of (a) Single DG unit, (b) Two DG units, (c) Three DG units in the 69-bus RDN.
Table 12.
Optimal capacities and positions of DGs in the 69-bus RDN for the proposed and benchmarked algorithms.