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Distributed multi-agent algorithm for residential energy management in smart grids

Kevin Mets UGent, Matthias Strobbe UGent, Tom Verschueren UGent, Thomas Roelens, Filip De Turck UGent and Chris Develder UGent (2012) IEEE IFIP Network Operations and Management Symposium. p.435-443
abstract
Distributed renewable power generators, such as solar cells and wind turbines are difficult to predict, making the demand-supply problem more complex than in the traditional energy production scenario. They also introduce bidirectional energy flows in the low-voltage power grid, possibly causing voltage violations and grid instabilities. In this article we describe a distributed algorithm for residential energy management in smart power grids. This algorithm consists of a market-oriented multi-agent system using virtual energy prices, levels of renewable energy in the real-time production mix, and historical price information, to achieve a shifting of loads to periods with a high production of renewable energy. Evaluations in our smart grid simulator for three scenarios show that the designed algorithm is capable of improving the self consumption of renewable energy in a residential area and reducing the average and peak loads for externally supplied power.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
INTEGRATION, ELECTRIC-POWER
in
IEEE IFIP Network Operations and Management Symposium
IEEE/IFIP Netw. Oper. Manag. Symp.
editor
Filip De Turck UGent, Luciano Paschoal Gaspary and Deep Medhi
issue title
2012 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (NOMS)
pages
435 - 443
publisher
IEEE
place of publication
New York, NY, USA
conference name
13th IEEE/IFIP Network Operations and Management Symposium (NOMS - 2012)
conference location
Maui, Hawaii
conference start
2012-04-16
conference end
2012-04-20
Web of Science type
Proceedings Paper
Web of Science id
000309517000053
ISSN
1542-1201
ISBN
9781467302685
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2914473
handle
http://hdl.handle.net/1854/LU-2914473
date created
2012-06-21 11:38:23
date last changed
2013-05-13 16:11:18
@inproceedings{2914473,
  abstract     = {Distributed renewable power generators, such as solar cells and wind turbines are difficult to predict, making the demand-supply problem more complex than in the traditional energy production scenario. They also introduce bidirectional energy flows in the low-voltage power grid, possibly causing voltage violations and grid instabilities. In this article we describe a distributed algorithm for residential energy management in smart power grids. This algorithm consists of a market-oriented multi-agent system using virtual energy prices, levels of renewable energy in the real-time production mix, and historical price information, to achieve a shifting of loads to periods with a high production of renewable energy. Evaluations in our smart grid simulator for three scenarios show that the designed algorithm is capable of improving the self consumption of renewable energy in a residential area and reducing the average and peak loads for externally supplied power.},
  author       = {Mets, Kevin and Strobbe, Matthias and Verschueren, Tom and Roelens, Thomas and De Turck, Filip and Develder, Chris},
  booktitle    = {IEEE IFIP Network Operations and Management Symposium},
  editor       = {De Turck, Filip and Paschoal Gaspary, Luciano and Medhi, Deep},
  isbn         = {9781467302685},
  issn         = {1542-1201},
  keyword      = {INTEGRATION,ELECTRIC-POWER},
  language     = {eng},
  location     = {Maui, Hawaii},
  pages        = {435--443},
  publisher    = {IEEE},
  title        = {Distributed multi-agent algorithm for residential energy management in smart grids},
  year         = {2012},
}

Chicago
Mets, Kevin, Matthias Strobbe, Tom Verschueren, Thomas Roelens, Filip De Turck, and Chris Develder. 2012. “Distributed Multi-agent Algorithm for Residential Energy Management in Smart Grids.” In IEEE IFIP Network Operations and Management Symposium, ed. Filip De Turck, Luciano Paschoal Gaspary, and Deep Medhi, 435–443. New York, NY, USA: IEEE.
APA
Mets, K., Strobbe, M., Verschueren, T., Roelens, T., De Turck, F., & Develder, C. (2012). Distributed multi-agent algorithm for residential energy management in smart grids. In Filip De Turck, L. Paschoal Gaspary, & D. Medhi (Eds.), IEEE IFIP Network Operations and Management Symposium (pp. 435–443). Presented at the 13th IEEE/IFIP Network Operations and Management Symposium (NOMS - 2012), New York, NY, USA: IEEE.
Vancouver
1.
Mets K, Strobbe M, Verschueren T, Roelens T, De Turck F, Develder C. Distributed multi-agent algorithm for residential energy management in smart grids. In: De Turck F, Paschoal Gaspary L, Medhi D, editors. IEEE IFIP Network Operations and Management Symposium. New York, NY, USA: IEEE; 2012. p. 435–43.
MLA
Mets, Kevin, Matthias Strobbe, Tom Verschueren, et al. “Distributed Multi-agent Algorithm for Residential Energy Management in Smart Grids.” IEEE IFIP Network Operations and Management Symposium. Ed. Filip De Turck, Luciano Paschoal Gaspary, & Deep Medhi. New York, NY, USA: IEEE, 2012. 435–443. Print.