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The use of binary particle swarm optimization to obtain a demand side management system

Joachim Agneessens UGent, Tine Vandoorn UGent, Bart Meersman UGent and Lieven Vandevelde UGent (2011) IET renewable power generation conference, Proceedings.
abstract
The increasing presence of wind, solar and other intrinsically intermittent sources of energy into the grid will lead to an erratic change of voltage along a distribution feeder. This phenomenon can lead to over- and undervoltages in some nodes of the line. In this paper, consumers will be considered as partially interruptible loads. By curtailing opportune loads, a smoother voltage profile can be obtained. The aim of this paper is to create a curtailment schedule that takes into account both the voltage profile along the line as well as the demands of the consumers. The use of binary particle swarm optimization will be investigated to obtain this demand side management (DSM) system.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
Demand Side Management, Binary Particle, Swarm Optimization, Interruptible loads
in
IET renewable power generation conference, Proceedings
pages
7 pages
publisher
IET events
conference name
IET Renewable Power Generation Conference (RPG- 2011)
conference location
Edinburgh, UK
conference start
2011-09-05
conference end
2011-09-08
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1861546
handle
http://hdl.handle.net/1854/LU-1861546
date created
2011-07-27 09:07:14
date last changed
2011-08-01 15:49:52
@inproceedings{1861546,
  abstract     = {The increasing presence of wind, solar and other intrinsically intermittent sources of energy into the grid will lead to an erratic change of voltage along a distribution feeder. This phenomenon can lead to over- and undervoltages in some nodes of the line. In this paper, consumers will be considered as partially interruptible loads. By curtailing opportune loads, a smoother voltage profile can be obtained. The aim of this paper is to create a curtailment schedule that takes into account both the voltage profile along the line as well as the demands of the consumers. The use of binary particle swarm optimization will be investigated to obtain this demand side management (DSM) system.},
  author       = {Agneessens, Joachim and Vandoorn, Tine and Meersman, Bart and Vandevelde, Lieven},
  booktitle    = {IET renewable power generation conference, Proceedings},
  keyword      = {Demand Side Management,Binary Particle,Swarm Optimization,Interruptible loads},
  language     = {eng},
  location     = {Edinburgh, UK},
  pages        = {7},
  publisher    = {IET events},
  title        = {The use of binary particle swarm optimization to obtain a demand side management system},
  year         = {2011},
}

Chicago
Agneessens, Joachim, Tine Vandoorn, Bart Meersman, and Lieven Vandevelde. 2011. “The Use of Binary Particle Swarm Optimization to Obtain a Demand Side Management System.” In IET Renewable Power Generation Conference, Proceedings. IET events.
APA
Agneessens, Joachim, Vandoorn, T., Meersman, B., & Vandevelde, L. (2011). The use of binary particle swarm optimization to obtain a demand side management system. IET renewable power generation conference, Proceedings. Presented at the IET Renewable Power Generation Conference (RPG- 2011), IET events.
Vancouver
1.
Agneessens J, Vandoorn T, Meersman B, Vandevelde L. The use of binary particle swarm optimization to obtain a demand side management system. IET renewable power generation conference, Proceedings. IET events; 2011.
MLA
Agneessens, Joachim, Tine Vandoorn, Bart Meersman, et al. “The Use of Binary Particle Swarm Optimization to Obtain a Demand Side Management System.” IET Renewable Power Generation Conference, Proceedings. IET events, 2011. Print.