International Journal of Advanced Information and Communication Technology


Enhancement of Power Quality in Distributed Generation Resources using Ant Colony Optimization

Nikhila Emerson, S. Srinivasan, K.S. Rangasamy College of Technology, Tiruchengode, Tamilnadu, India.

DOI : 01.0401/ijaict.2015.11.02

International Journal of Advanced Information and Communication Technology

Received On : December 12, 2018

Revised On : January 10, 2018

Accepted On : February 13, 2018

Published On : March 05, 2018

Volume 05, Issue 03

Pages : 822-825

Abstract


This paper presents a control strategy for an islanded micro grid to coordinate Hybrid Power Source (HPS) units. Micro grid usually consists of multiple distributed generation units interfaced to the system through power electronic inverters. Usage of power electronic inverters results in harmonic generation and leads to power quality issues. In the proposed method multiple photo voltaic arrays are considered. When PV arrays are partially shaded there is failure in finding global maximum power point. To overcome the inadequacy Ant Colony Optimization (ACO) based Maximum Power Point Tracking (MPPT) scheme is adopted in this work. Using Ant Colony Optimization maximum power point can be tracked and this is given as duty cycle to boost converter to boost voltage. Hence voltage fluctuations can be minimized and there by power quality can be enhanced. The proposed method has been simulated using MATLAB/SIMULINK in power system block set. Keywords— Power Quality; Fuel Cell (FC; Hybrid Power Source (HPS); Photo Voltaic (PV); Ant Colony Optimization (ACO).

Keywords


Power Quality; Fuel Cell (FC; Hybrid Power Source (HPS); Photo Voltaic (PV); Ant Colony Optimization (ACO).

Cite this article


Nikhila Emerson, S. Srinivasan, “Enhancement of Power Quality in Distributed Generation Resources using Ant Colony Optimization” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.822-825, March 05, 2018.

Copyright


© 2018 Nikhila Emerson, S. Srinivasan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.