Asna.S. Asok, Regional Centre Anna University,Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.01.02
International Journal of Advanced Information and Communication Technology
Received On : February 14, 2014
Revised On : March 22, 2014
Accepted On : April 05, 2014
Published On : May 05, 2014
Volume 01, Issue 01
Pages : 025-030
Abstract
Distributed generation units (DGs), small generating units connected directly to the distribution networks are recently in growing attention as a solution to environmental and economical challenges caused by conventional power plants. In this study, a multi-objective framework is proposed for optimal placement and sizing of inverter based distributed generation units in meshed electric power system. The objective functions include maximizing the penetration level as well as minimizing power losses and total harmonic distortion subjected to various constraints such as power balance equations, bus voltage limits, individual harmonic distortion limit specified by IEEE-519 standard.. The DG penetration level could be limited by harmonic distortion because of the non linear current injected by inverter based DG units. This study is formulated as a nonlinear programming problem and tested on the IEEE-14 bus meshed distribution system with different DG scenarios. The problem is solved using particle swarm optimization algorithm due to its nonlinear and non convex nature. Simulation results show the effectiveness o the proposed approach. The best results have been obtained and is plotted and graphed.
Keywords
Distributed generation, harmonic distortion, harmonic power flow, particle swarm optimization.
Cite this article
Asna.S. Asok, “Multi Objective Optimal Siting and Sizing of Inverter Based Distributed Generation Units Considering Harmonic Limits in Meshed Electric Power System,” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 025-030, May. 2014.
Copyright
© 2014 Asna.S. Asok. 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.