Distribution Generation Planning in Distribution Network using Ant Lion Optimizer

Abstract

This paper proposed a method to determine the optimal location and sizing of Distributed Generation (DG) for power loss minimization using Ant Lion optimizer (ALO). The analysis also covers the effect of DG installation to voltage improvement and maximum system loadability index. ALO is an optimization algorithm that based on the nature interaction between ants and antlions. The nature interaction consists of five steps of hunting prey such as random walk of ants, building traps, entrapment of ants in traps, catching preys, and rebuilding traps. The ALO algorithm is tested on IEEE 69-bus distribution test system. The system will find the optimal location and sizing with corresponding load increase until it reaches the maximum system loadability (MSL) of the network. DG are usually attached to the end terminal at the load side of the system that refers to a technology that generate electricity at or near where it will be used such as solar panels and combined heat and power. The result of test function shows that the proposed algorithm can provide accurate yet competitive result in terms of power loss minimization, maximum system loadability enhancement and consistency.