Distribution Systems Reconfiguration using a modified particle swarm optimization algorithm

Artificial immune networks Copt-aiNet and Opt-aiNet applied to the reconfiguration problem of radial electrical distribution systems

“…The other necessary condition is that the system must be connected (all nodes connected). This condition is guaranteed by (2), which implies that each load node is connected to the substation in order to satisfy its demand. The radial operation is a typical requirement of the EDS and must be considered in the DSR problem.…”

“…Within this context, one of the available alternatives is the distribution systems reconfiguration (DSR), which has as objective to identify the best radial topology for the operation of the EDS through the opening and closing of interconnection switches, thereby reducing power losses, among other objectives [1][2][3][4].…”

“…The main difference between various types of metaheuristics is the strategy used to move in the search space. Metaheuristic approaches such as genetic algorithms [3,4,8], simulated annealing [9], tabu search [10,11], ant colony systems [12], and particle swarm optimization [2] stand out. Other approaches, such as artificial neural networks [13,14] can also be found in the literature.…”

Power system state estimation solution using modified models of PSO algorithm: Comparative study

“…Since the state estimation is the back bone of all analyses carried out in the power system from the control centres, PSO can be an appropriate method for the target problem. Nowadays different versions of PSO algorithms exist in the literature [39][40][41][42][43][44][45][46][47][48][49][50][51].…”

Modified particle swarm optimization for economic-emission load dispatch of power system operation

“…In the literature, the PSO algorithm is widely applied in power system optimization problems [18][19][20]. This is due to the advantages of PSO such as less complexity, fast convergence, and free-derivative algorithm.…”