Usage of metaheuristic methods of optimization of distributed generation placement into the distribution network (Możliwości zastosowania algorytmów metaheurystycznych do optymalizacji przyłączenia rozprosznych źródeł energii do sieci elektroenergetycznej)

Because of the increasing number of distributed energy sources integrated with the distribution network various optimization methods are very useful in determining the optimal placement, type and size of the distributed generators. One of the most commonly used algorithms are so called metaheuristics, like simulated annealing, tabu search or genetic algorithms. The aim of this paper is to present the advantages and benefits of metaheuristicss in optimization of DG allocation in the distribution network.