Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/667
Title: Improvement of voltage magnitude and unbalance in LV network by implementing residential demand response
Authors: Rahman, M. D. M
Hettiwatte, S. N
Shafiullah, G. M
Arefi, A
Pezeshki, H
Keywords: Demand response
distribution network
voltage unbalance
photovoltaic
particle swarm optimization.
Issue Date: 16-Jul-2017
Publisher: IEEE
Citation: M. M. Rahman, G. M. Shafiullah, A. Arefi, H. Pezeshki and S. Hettiwatte, "Improvement of voltage magnitude and unbalance in LV network by implementing residential demand response," 2017 IEEE Power & Energy Society General Meeting, 2017, pp. 1-5, doi: 10.1109/PESGM.2017.8273831.
Series/Report no.: 2017 IEEE Power & Energy Society General Meeting;Pages 1-5
Abstract: Maintaining voltage levels in low voltage (LV) distribution network within the standard limits is the main constraining factor in increasing network hosting ability for high penetration of rooftop photovoltaic (PV). Distribution system operator must be able to take corrective approach to avoid critical voltage unbalance and magnitude violations where rooftop PV generation is high. This study presents an effective method for voltage management in distribution networks through implementation of optimal residential demand response (DR) and transformer tap setting using a particle swarm optimization algorithm. The method is comprehensively verified on a real Australian distribution network with considerable unbalance and distributed generations. The simulation results show that PV penetration of the network can be further increased with the proposed approach.
URI: http://localhost:80/handle/123456789/667
ISSN: 1944-9933
Appears in Collections:Research Papers
Research Papers - Department of Electrical and Electronic Engineering
Research Papers - SLIIT Staff Publications

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