OPTIMAL DISTRIBUTED GENERATION PLACEMENT AND SIZING TO REDUCE ACTIVE POWER LOSS USING GA AND ACO ALGORITHM

Abstract

In this paper, Genetic Algorithm (GA) and Ant colony Algorithm (ACO) optimization techniquesare proposed to find optimal sizing and location for distributed generation in electrical networks.The objective function of the work relies upon a linearized model to compute the active powerlosses as a function of power generators. This strategy based on a strong coupling between activepower and power flow taking into consideration the voltage angles. With the end goal to exhibitthe adequacy of the proposed method, the proposed strategy is applied on IEEE 30-bus standardsystems. Different maximum penetration level capacity of DG units with three ranges such as,10%, 20% and 30% of maximum power load and various possible places of DG units amongseveral types of DG (active, reactive or active and reactive power) are considered. Results showthat the optimization tools employing GA and ACO are effective in reducing active power lossesand cost loss by finding the optimal placement and sizing of DG units.