A New Platform for Automatic Bottom-Up Electric Load Aggregation

Autor: Gaetano Zizzo, Salvatore Favuzza, Diego La Cascia, Mariano Giuseppe Ippolito, Alfredo Bartolozzi, Eleonora Riva Sanseverino
Přispěvatelé: Bartolozzi, A., Favuzza, S., Ippolito, M., Diego La, C., Eleonora Riva, S., Zizzo, G.
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Control and Optimization
Electrical load
Computer science
020209 energy
Reliability (computer networking)
Distributed computing
Energy Engineering and Power Technology
Context (language use)
02 engineering and technology
010501 environmental sciences
loads aggregation
loads clustering
energy market
active demand (AD)
01 natural sciences
lcsh:Technology
Energy market
0202 electrical engineering
electronic engineering
information engineering
Operations management
Active demand (AD)
Electrical and Electronic Engineering
Cluster analysis
Engineering (miscellaneous)
Loads aggregation
0105 earth and related environmental sciences
lcsh:T
Renewable Energy
Sustainability and the Environment
Computer Science (all)
Settore ING-IND/33 - Sistemi Elettrici Per L'Energia
Loads clustering
Software deployment
Energy (signal processing)
Energy (miscellaneous)
Zdroj: Energies; Volume 10; Issue 11; Pages: 1682
Energies, Vol 10, Iss 11, p 1682 (2017)
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: OpenAIRE
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