6533b82dfe1ef96bd1290986
RESEARCH PRODUCT
A New Platform for Automatic Bottom-Up Electric Load Aggregation
Gaetano ZizzoSalvatore FavuzzaDiego La CasciaMariano Giuseppe IppolitoAlfredo BartolozziElenora Riva Sanseverinosubject
Control and OptimizationElectrical loadComputer science020209 energyReliability (computer networking)Distributed computingEnergy Engineering and Power TechnologyContext (language use)02 engineering and technology010501 environmental sciencesloads aggregation; loads clustering; energy market; active demand (AD)01 natural scienceslcsh:TechnologyEnergy market0202 electrical engineering electronic engineering information engineeringOperations managementEnergy marketActive demand (AD)Electrical and Electronic EngineeringCluster analysisEngineering (miscellaneous)Loads aggregation0105 earth and related environmental scienceslcsh:TRenewable Energy Sustainability and the EnvironmentComputer Science (all)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaLoads clusteringSoftware deploymentEnergy (signal processing)Energy (miscellaneous)description
In this paper, a new virtual framework for load aggregation in the context of the liberalized energy market is proposed. Since aggregation is managed automatically through a dedicated platform, the purchase of energy can be carried out without intermediation as it happens in peer-to-peer energy transaction models. Differently from what was done before, in this new framework, individual customers can join a load aggregation program through the proposed aggregation platform. Through the platform, their features are evaluated and they are clustered according to their reliability and to the width of range of regulation allowed. The simulations show the deployment of an effective clustering and the possibility to meet the target power demand at a given hour according to each customer’s availability.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-10-25 | Energies; Volume 10; Issue 11; Pages: 1682 |