Hierarchical demand response using dantzig-wolfe decomposition

Paul Mc Namara, Seán McLoone

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Demand Side Management (DSM) programmes are designed to shift electrical loads from peak times. Demand Response (DR) algorithms automate this process for controllable loads. DR can be implemented explicitly in terms of Peak to Average Ratio Reduction (PARR), in which case the maximum peak load is minimised over a prediction horizon by manipulating the amount of energy given to controllable loads at different times. A hierarchical predictive PARR algorithm is presented here based on Dantzig-Wolfe decomposition.

Original languageEnglish
Title of host publication2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
DOIs
Publication statusPublished - 01 Dec 2013
Event2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 - Lyngby, Denmark
Duration: 06 Oct 201309 Oct 2013

Conference

Conference2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013
CountryDenmark
CityLyngby
Period06/10/201309/10/2013

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Fingerprint Dive into the research topics of 'Hierarchical demand response using dantzig-wolfe decomposition'. Together they form a unique fingerprint.

  • Cite this

    Mc Namara, P., & McLoone, S. (2013). Hierarchical demand response using dantzig-wolfe decomposition. In 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 [6695269] https://doi.org/10.1109/ISGTEurope.2013.6695269