Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2245
Title: | Optimal Allocation of Distributed Generation For Power Loss Minimization Using Pso Algorithm |
Authors: | Guru, Pragya Malik, Nitin Mahapatra, Sheila |
Keywords: | Distributed Generation Newton-Raphson Optimal Positioning Particle Swarm Optimization Radial Distribution Network |
Issue Date: | 2019 |
Publisher: | 2019 3rd International Conference on Recent Developments in Control, Automation and Power Engineering, RDCAPE 2019 |
Citation: | pp. 22-26 |
Abstract: | The rapidly increasing demand for electrical power and difficulties in providing the same using traditional power generating sources provide a motivation to integrate distributed generation (DG) into the radial distribution network. In the proposed work, the ideal arrangement of DG is investigated in IEEE standard 33-bus radial distribution network for minimizing network power losses and simultaneous node voltage profile upgradation. The load model chosen is constant complex power. The power flow solution with DG incorporated is computed using the Newton-Raphson algorithm under normal loading conditions. The optimal positioning and power rating of DG are computed by particle swarm optimization approach. The methodology proposed is verified by comparing it with the loss sensitivity method and the analytical method. The significantly reduced network power losses and significant improvement in node voltages is observed which shows the efficacy of the methodology proposed. © 2019 IEEE. |
URI: | https://doi.org/10.1109/RDCAPE47089.2019.8979020 http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2245 |
ISBN: | 9781728120683 9781728120690 |
Appears in Collections: | Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.