LAPSE:2019.1552
Published Article
LAPSE:2019.1552
A New Platform for Automatic Bottom-Up Electric Load Aggregation
December 10, 2019
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.
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Keywords
active demand (AD), energy market, loads aggregation, loads clustering
Subject
Suggested Citation
Bartolozzi A, Favuzza S, Ippolito MG, La Cascia D, Riva Sanseverino E, Zizzo G. A New Platform for Automatic Bottom-Up Electric Load Aggregation. (2019). LAPSE:2019.1552
Author Affiliations
Bartolozzi A: Direzione Territoriale Lazio Abruzzo Molise (DTR LAM)-e-distribuzione SPA, ENEL Group, via della Bufalotta 255, 00139 Rome, Italy
Favuzza S: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy [ORCID]
Ippolito MG: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy
La Cascia D: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy
Riva Sanseverino E: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy
Zizzo G: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy
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Favuzza S: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy [ORCID]
Ippolito MG: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy
La Cascia D: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy
Riva Sanseverino E: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy
Zizzo G: Department of Energy, Information Engineering and Mathematical Models (DEIM)-University of Palermo, viale delle Scienze-Edificio 9, 90128 Palermo, Italy
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Journal Name
Energies
Volume
10
Issue
11
Article Number
E1682
Year
2017
Publication Date
2017-10-25
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en10111682, Publication Type: Journal Article
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Published Article
LAPSE:2019.1552
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External Link
doi:10.3390/en10111682
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Version History
[v1] (Original Submission)
Dec 10, 2019
Verified by curator on
Dec 10, 2019
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v1
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https://psecommunity.org/LAPSE:2019.1552
Original Submitter
Calvin Tsay
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