6533b820fe1ef96bd127a429
RESEARCH PRODUCT
An algorithm for simulating end-user behaviour in a real time pricing market
Gaetano ZizzoSalvatore FavuzzaMariano Giuseppe IppolitoGiovanni Ettore GaliotoG. PecoraroFabio MassaroEleonora Riva Sanseverinosubject
Operations researchbusiness.industryComputer scienceEnd userReal-time pricingDemand Responsesimulationcomputer.software_genreNews aggregatorSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDemand responsecase studyloads aggregationPricing strategiesVariable pricingElectricity marketEnergy marketElectricitybusinesscomputerdescription
The energy market has changed radically over the last decade, mainly due to an increased penetration of renewable energies. Now the end users have directly access to the energy market and can actively take part to the electricity market. Electricity customers can indeed modify their behavior through Demand Response, namely by means of pricing strategies that support a change in the end-users habits. This can be accomplished through a 'loads aggregator', a third party that collects the requests and signals for Active Demand-based services coming from the markets and the different actors of energy market. This paper describes a simulation framework to generate the simulated optimal behavior of the electrical users. Based on a given real-time pricing curves the simulator evaluates the power consumption hour by hour if the user behaves according to what the price curve and thus the loads aggregator suggests. A case study shows the advantages/disadvantages of the proposed pricing approach and the limits of the simulator.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-06-01 | 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC) |