Hierarchical demand response using dantzig-wolfe decomposition


Autoria(s): Mc Namara, Paul; McLoone, Seán
Data(s)

01/12/2013

Resumo

<p>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. © 2013 IEEE.</p>

Identificador

http://pure.qub.ac.uk/portal/en/publications/hierarchical-demand-response-using-dantzigwolfe-decomposition(a90bf25a-8458-4c21-be5a-85ec563af3a0).html

http://dx.doi.org/10.1109/ISGTEurope.2013.6695269

http://www.scopus.com/inward/record.url?scp=84893586027&partnerID=8YFLogxK

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

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 , 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 , Lyngby , Denmark , 6-9 October . DOI: 10.1109/ISGTEurope.2013.6695269

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/1700/1701 #Computer Science (miscellaneous)
Tipo

contributionToPeriodical