Ecole d'ingénieur et centre de recherche en Sciences du numérique

Dissecting demand response mechanisms: the role of consumption forecasts and personalized offers

Benegiamo, Alberto; Loiseau, Patrick; Neglia, Giovanni

Research Report RR-8881, March 2016

Demand-Response (DR) programs, whereby users of an electricity network are encour- aged by economic incentives to re-arrange their consumption in order to reduce production costs, are envisioned to be a key feature of the smart grid paradigm. Several recent works proposed DR mechanisms and used analytical models to derive optimal incentives. Most of these works, however, rely on a macroscopic description of the population that does not model individual choices of users. In this paper, we conduct a detailed analysis of those models and we argue that the macroscopic descriptions hide important assumptions that can jeopardize the mechanisms’ implementation (such as the ability to make personalized offers and to perfectly estimate the demand that is moved from a timeslot to another). Then, we start from a microscopic description that explicitly models each user’s decision. We introduce four DR mechanisms with various assumptions on the provider’s capabilities. Contrarily to previous studies, we find that the optimization problems that result from our mechanisms are complex and can be solved numerically only through a heuristic. We present numerical simulations that compare the different mechanisms and their sensitivity to forecast errors. At a high level, our results show that the performance of DR mechanisms under reasonable assumptions on the provider’s capabilities are significantly lower than those suggested by previous studies, but that the gap reduces when the population’s flexibility increases.

Hal Bibtex

Titre:Dissecting demand response mechanisms: the role of consumption forecasts and personalized offers
Mots Clés:smart grid, demand-response, incentive mechanisms, energy network
Type:Rapport
Langue:English
Ville:
Date:
Département:Data Science
Eurecom ref:4861
Copyright: © INRIA. Personal use of this material is permitted. The definitive version of this paper was published in Research Report RR-8881, March 2016 and is available at :
Bibtex: @techreport{EURECOM+4861, year = {2016}, title = {{D}issecting demand response mechanisms: the role of consumption forecasts and personalized offers}, author = {{B}enegiamo, {A}lberto and {L}oiseau, {P}atrick and {N}eglia, {G}iovanni}, number = {EURECOM+4861}, month = {03}, institution = {Eurecom}, url = {http://www.eurecom.fr/publication/4861},, }
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