Analysis of rebound effect modelling for flexible electrical consumers

Giulia De Zotti, Daniela Guericke, Seyyed Ali Pourmousavi Kani, Juan Miguel Morales, Henrik Madsen, Niels Kjølstad Poulsen

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Demand response (DR) will be an inevitable part of the future power system operation to compensate for stochastic variations of the ever-increasing renewable generation. A solution to achieve DR is to broadcast dynamic prices to customers at the edge of the grid. However, appropriate models are needed to estimate the potential flexibility of different types of consumers for day-ahead and real-time ancillary services provision, while accounting for the rebound effect (RE). In this study, two RE models are presented and compared to investigate the behaviour of flexible electrical consumers and quantify the aggregate flexibility provided. The stochastic nature of consumers’ price response is also considered in this study using chanceconstrained (CC) programming.
Original languageEnglish
Book seriesI F A C Workshop Series
Issue number4
Pages (from-to)6-11
Publication statusPublished - 2019
EventIFAC Workshop on Control of Smart Grid and Renewable Energy Systems - Hyatt Regency Jeju, Jeju, Korea, Republic of
Duration: 10 Jun 201912 Jun 2019


ConferenceIFAC Workshop on Control of Smart Grid and Renewable Energy Systems
LocationHyatt Regency Jeju
Country/TerritoryKorea, Republic of
Internet address


  • Rebound effect
  • Flexible consumers
  • Mixed-integer linear program
  • Chanced-constrained programming
  • Demand response
  • Dynamic prices


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