Stochastic search techniques for post-fault restoration of electrical distribution systems

Three stochastic search techniques have been used to find the optimal sequence of operations required to restore supply in an electrical distribution system on the occurrence of a fault. The three techniques are the genetic algorithm, simulated annealing and the tabu search. The performance of these techniques has been compared. A large distribution system of over 29 substations, 2500 nodes and 120 feeders has been used