Optimal Placement and Sizing of DER's with Load Variations Using Bat Algorithm

Abstract

This paper presents an algorithm for optimal placement and size of the distributed energy resources (DERs) considering loss minimization, voltage profile improvement, and line flow capacity as multi-objectives. DERs are the energy resources which contain renewable energy resources such as wind, solar and fuel cell, and some artificial models such as microturbines, gas turbines, diesel engines, sterling engines, and internal combustion reciprocating engines. Combinations of DER studies and for every combination, indices, active and reactive losses, and voltage profiles are studied. To optimize the objective function, new optimization technique called Bat algorithm (BA) is proposed. The work is tested on 38-bus distribution system with different % of loading such as 90, 100, and 110 % of base-load condition. With BA, the voltage profile of the system and loss reduction with different loading conditions are presented. For all cases, current injection-based distribution load flow method is used.