Load Balancing and Restoring Service by Using Hybrid Ant Lion and Improved Mayfly Optimization Technique

Abstract

The most common problems encountered in any electrical distribution system are load unbalance and restoring service to healthy zones in the case of a fault. The load on the distribution network is not constant and varies from feeder to feeder throughout the day. In the event of a fault, network reconfiguration is performed to balance the loads and restore service to healthy zones. Network reconfiguration involves modifying the structure of a network by sectionalizing and tie switches. Through reconfiguration, loads can be transferred from a feeder that is relatively heavily loaded to one that is relatively lightly loaded. A hybrid Ant Lion Optimization and Improved Mayfly Optimization (ALO-IMO) technique for load balancing and restoring service is implemented in this paper. The proposed technique is employed for load balancing and restoring service on the IEEE 3 feeder system, as well as restoring service on the IEEE 4 feeder system.