Distribution feeder reconfiguration considering fuel cell/wind/photovoltaic power plants

Study of Network Reconfiguration in Distribution Systems Using an Adaptive Modified Firefly Algorithm

“…Thus, here the length of the control vector X is restricted just to the position of the sectionalizing and tie switches. [27] 139.53 0.93781964 s7, s9, s14, s32, s37 DPSO-HBMO [27] 139.53 0.93781964 s7, s9, s14, s32, s37 McDermott et al [28] 139.53 0.93781964 s7, s9, s14, s32, s37 Vanderson Gomes [29] 139.53 0.93781964 s7, s9, s14, s32, s37 PSO-SFLA [30] 139.53 0.93781964 s7, s9, s14, s32, s37 DPSO-ACO [31] 139.53 0.93781964 s7, s9, s14, s32, s37 MSFLA [16] 139.53 0.93781964 s7, s9, s14, s32, s37 Shirmohammadi [32] 140 From Table 1 it is obvious that the proposed modified FA has discovered the best optimal solution which was discovered by other well-known techniques in the area. In addition the related optimal switching has been shown in Table 1.…”

Considering cost and reliability in electrical and thermal distribution networks reinforcement planning

“…Once the new individual is generated, three learners are produced using X Teacher , X muted and X s as follows [37]- [38]:…”

Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications

“…A study of the literature reveals that some heuristic algorithms and software have been applied to various facets of hybrid systems, such as genetic algorithm [37], multi-objective evolutionary algorithms with genetic algorithms [38], particle swarm optimization [39], multi-objective optimization with particle swarm optimization [40], simulated annealing [41], distributed optimization algorithm [42], tabu search [43], bee algorithm [44], honey bee mating optimization [45], and HOMER [46,47]. It is also found that the PSO algorithm is recognized as one of the most promising heuristic algorithms [48,49], largely because it outperforms other approaches in terms of accuracy.…”