A service restoration process is achieved through the switching actions of the sectionalizing and tie
switches in distribution feeders. After the faults have been located and isolated, restoration plans are
applied in order to minimize the de-energized consumer load and the number of switching operations.
All of these objectives are converted to monetary costs, which are then added together into a global
objective. The solution to the problem, which is based on a genetic algorithm, is then aimed at achieving
the minimum cost. In this work, numerous practical aspects related to service restoration have been
considered, such as variations in the load and the priorities of the customers, price discounts for inservice
customers based on their participation in a load-curtailment scheme that permits other customers
to be supplied, the presence of manual and automated switches, and the incorporation of
distributed generation (dispatchable and wind-based DG units) in the restoration process. The constraints
involved include voltage limits, line current limits, and radial topology.