Power distribution systems have tie and sectionalizing switches whose states

determine the configuration of the network. Reconfiguration of distribution network

is achieved through switching operation switches of distribution network branches.

Power companies are interested in finding the most efficient configuration for

minimization of real power losses and load balancing among distribution feeders to

save the energy and enhance the operation performance of distribution system.

The objective of this thesis is to show that the ant colony optimization

algorithm can be used successfully in the reconfiguration of electrical distribution

networks to minimize the power losses of the system and to balance the loading of the

feeders. This work is to provide a basis for power companies to use it in the

reconfiguration of the distribution networks to reduce the operational costs and to

enhance the performance of their networks.-Power distribution systems have tie and sectionalizing switches whose states

determine the configuration of the network. Reconfiguration of distribution network

is achieved through switching operation on switches of distribution network branches.

Power companies are interested in finding the most efficient configuration for

minimization of real power losses and load balancing among distribution feeders to

save the energy and enhance the operation performance of distribution system.

The objective of this thesis is to show that the ant colony optimization

algorithm can be used successfully in the reconfiguration of electrical distribution

networks to minimize the power losses of the system and to balance the loading of the

feeders. This work is to provide a basis for power companies to use it in the

reconfiguration of the distribution networks to reduce the operational costs and to

enhance the performance of their networks.