Mohammad Hajivand - Young Researchers and Elite Club, Boroujerd Branch, Islamic Azad University, Boroujerd, Iran (Alley Number 19 Entezar, Valiasr Street, Dourod-Lorestan, Iran,
Reza Hajivand - Young Researchers and Elite Club, Boroujerd Branch, Islamic Azad University, Boroujerd, Iran (Alley Number 19 Entezar, Valiasr Street, Dourod-Lorestan, Iran,
Mohammad Karabi - Department of Electrical Engineering, East Tehran Branch, Islamic Azad University, Tehran, Iran
Fereshteh Moghateli - Department of Electrical Engineering, Kashan University

In this paper, two novel models have been used in optimal Distributed Generation (DG) placement in distribution system. To do this, the system load have been modeled based on types of costumer and parameter. Minimizing power loss and improving voltage bus have been considered in the proposedobjective function. This objective function has been optimized by Group Search Optimization (GSO) algorithm. This algorithm one of particle swarm intelligence techniques which has been suggested to solve complex nonlinear problem. Case study has been performed on IEEE 34-bus radial distribution system.

Distributed generation, Group search optimization, Power loss minimization, Voltage .Profile Improvement