A New Platform for Automatic Bottom-Up Electric Load Aggregation

Autor: Alfredo Bartolozzi, Salvatore Favuzza, Mariano Giuseppe Ippolito, Diego La Cascia, Eleonora Riva Sanseverino, Gaetano Zizzo
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Energies, Vol 10, Iss 11, p 1682 (2017)
Druh dokumentu: article
ISSN: 1996-1073
DOI: 10.3390/en10111682
Popis: 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.
Databáze: Directory of Open Access Journals