eprintid: 9329
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/93/29
datestamp: 2023-11-09 16:21:18
lastmod: 2023-11-09 16:21:18
status_changed: 2023-11-09 16:14:51
type: article
metadata_visibility: show
creators_name: Nallagownden, P.
creators_name: Mahesh, K.
creators_name: Elamvazuthi, I.
title: A combined-model for uncertain load and optimal configuration of distributed generation in power distribution system
ispublished: pub
note: cited By 3
abstract: The electric distribution system can be the most stressed part of a power system. Firstly, the electric load is stochastic in nature and fluctuates throughout the day. Secondly, the distribution system previously had one directional power flow but now Distributed Generation (DGs) is being integrated and result in bi-directional power flow. In the context of these challenges, this paper presents a combined-model which handles the uncertain load variations and optimal placement and sizing of DG into the distribution system. The uncertainties in the load are modelled by probability distribution functions (PDF) of load with Hong�s two-point estimation method. The optimal placement and sizing of DG in candidate buses are proposed by particle swarm optimization (PSO) method. The results are compared with analytical approaches and grid search algorithms. © 2017, UK Simulation Society. All rights reserved.
date: 2017
publisher: UK Simulation Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017277351&doi=10.5013%2fIJSSST.a.17.41.11&partnerID=40&md5=dd5f1ec70f62dd986c5d53cb50736b84
id_number: 10.5013/IJSSST.a.17.41.11
full_text_status: none
publication: International Journal of Simulation: Systems, Science and Technology
volume: 17
number: 41
pagerange: 11.1-11.7
refereed: TRUE
issn: 14738031
citation:   Nallagownden, P. and Mahesh, K. and Elamvazuthi, I.  (2017) A combined-model for uncertain load and optimal configuration of distributed generation in power distribution system.  International Journal of Simulation: Systems, Science and Technology, 17 (41).  11.1-11.7.  ISSN 14738031