Genetic Algorithm-Based Optimization for AVR and DG Placement in Distribution Networks

Abstract

Distributed Generation (DG) penetration in distribution networks has increased dramatically in recent years as power markets have improved. Aside from serving loads locally, the installation of DG has a number of technical advantages, including improved voltage profile and lower network loss. Using an Automatic Voltage Regulator (AVR) in conjunction with DGs maximizes technological benefits. This study investigates the influence of DG and AVR placement with the purpose of decreasing network losses. The Genetic Algorithm (GA) solves the optimization problem. The effectiveness of the proposed approach is proven with a standard IEEE 69-bus distribution network.