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  4. A Linear Programming Model for Power Distribution with Demand Response and Variable Renewable Energ
 
research article

A Linear Programming Model for Power Distribution with Demand Response and Variable Renewable Energ

Babonneau, Frédéric Louis François  
•
Caramanis, Michael
•
Haurie, Alain
2016
Applied Energy

A linear programming framework is proposed to model distribution network characteristics, and market clearing processes for flexible load and distributed energy resources providing reserve and reactive power compensation. One shows that the Nash equilibrium solution representing the interaction between utility and customers for demand response and distributed reserve transactions can be approximated by a linear program when the players (i.e. the customers) are numerous and tend to become infinitesimal. Then a linear program is shown to reveal the market prices, corresponding to the marginal cost for the utility. The goal in developing this model is to provide a new module for a regional long term model of development of smart energy systems. This module will then introduce in the modeling of energy transition, the new options and constraints that are provided by a penetration of renewables with the possibility of implementing distributed markets for demand response and system services permitted by the development of the cyber-physical layer. A case study of a potential smart urban distribution network in Europe is carried out and provides numerical results that illustrate the proposed framework.

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Type
research article
DOI
10.1016/j.apenergy.2016.08.028
Web of Science ID

WOS:000386644200008

Author(s)
Babonneau, Frédéric Louis François  
Caramanis, Michael
Haurie, Alain
Date Issued

2016

Publisher

Elsevier Sci Ltd

Published in
Applied Energy
Volume

181

Start page

83

End page

95

Subjects

Long term energy planning

•

distribution network

•

smart systems

•

intermittency

•

reactive compensation

•

secondary reserve

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LEURE  
Available on Infoscience
August 27, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/117401
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