Multi-objective Hybrid Optimal Algorithm for Distribution System Feeder Reconfiguration

The power generated is transmitted through various networks, which include underground cables, power transformers, and other components. These losses are caused by the improper installation of generators and the transmission system overloading. The distribution system also has load-tapping capabilities. The uncertainty of the current voltage profile also leads to higher losses in the distribution system. Distribution system reconfiguration in a distribution system is a complex optimization problem. The location of generators is considered in the most advantageous manner possible. The placement of generators does not guarantee an improved performance index. The main factors that affect the placement of generators are size, type, and level of penetration. To overcome this in this paper, a Hybrid GSA-Tabu Multi-Objective Algorithm is proposed for feeder reconfiguration with optimal placement of DG in the distribution system in IEEE 33 bus system and its effectiveness is evaluated by comparing with existing LSA, ALO, CLAMS, and BBO-PSO algorithms.