A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation Process

The electrical power system is evolving in a way that requires new measures for ensuring its secure and reliable operation. Demand-side aggregation represents one of the more interesting ways to provide ancillary services by the coordinated management of a multitude of different distributed resource...

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Main Authors: Diego Arnone, Michele Cacioppo, Mariano Giuseppe Ippolito, Marzia Mammina, Liliana Mineo, Rossano Musca, Gaetano Zizzo
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/1/430
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author Diego Arnone
Michele Cacioppo
Mariano Giuseppe Ippolito
Marzia Mammina
Liliana Mineo
Rossano Musca
Gaetano Zizzo
author_facet Diego Arnone
Michele Cacioppo
Mariano Giuseppe Ippolito
Marzia Mammina
Liliana Mineo
Rossano Musca
Gaetano Zizzo
author_sort Diego Arnone
collection DOAJ
description The electrical power system is evolving in a way that requires new measures for ensuring its secure and reliable operation. Demand-side aggregation represents one of the more interesting ways to provide ancillary services by the coordinated management of a multitude of different distributed resources. In this framework, aggregators play the main role in ensuring the effectiveness of the coordinated action of the distributed resources, usually becoming mediators in the relation between distribution system operators and smart prosumers. The research project DEMAND recently introduced a new concept in demand-side aggregation by proposing a scheme without a central aggregator where prosumers can share and combine their flexibility with a collaboration–competition mechanism in a platform called Virtual Aggregation Environment (VAE). This paper, after a brief introduction to the DEMAND project, presents the algorithm for the day-ahead estimation of prosumers’ flexibility and the cooperative–competitive algorithm for the bottom-up aggregation. The first algorithm evaluates various couples of power variation and desired remuneration to be sent to the VAE for further elaborations and, for showing its potentiality, is applied to two different case studies: a passive user with only controllable loads and prosumers with controllable loads, photovoltaics and a storage system. The aggregation algorithm is instead discussed in detail, and its performance is evaluated for different population sizes.
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spelling doaj.art-13601c14460f47a297d5a2372deb18f72023-11-23T11:12:52ZengMDPI AGApplied Sciences2076-34172022-01-0112143010.3390/app12010430A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation ProcessDiego Arnone0Michele Cacioppo1Mariano Giuseppe Ippolito2Marzia Mammina3Liliana Mineo4Rossano Musca5Gaetano Zizzo6Engineering Ingegneria Informatica SpA, 00185 Rome, ItalyEngineering Department, University of Palermo, 90128 Palermo, ItalyEngineering Department, University of Palermo, 90128 Palermo, ItalyEngineering Ingegneria Informatica SpA, 00185 Rome, ItalyEngineering Department, University of Palermo, 90128 Palermo, ItalyEngineering Department, University of Palermo, 90128 Palermo, ItalyEngineering Department, University of Palermo, 90128 Palermo, ItalyThe electrical power system is evolving in a way that requires new measures for ensuring its secure and reliable operation. Demand-side aggregation represents one of the more interesting ways to provide ancillary services by the coordinated management of a multitude of different distributed resources. In this framework, aggregators play the main role in ensuring the effectiveness of the coordinated action of the distributed resources, usually becoming mediators in the relation between distribution system operators and smart prosumers. The research project DEMAND recently introduced a new concept in demand-side aggregation by proposing a scheme without a central aggregator where prosumers can share and combine their flexibility with a collaboration–competition mechanism in a platform called Virtual Aggregation Environment (VAE). This paper, after a brief introduction to the DEMAND project, presents the algorithm for the day-ahead estimation of prosumers’ flexibility and the cooperative–competitive algorithm for the bottom-up aggregation. The first algorithm evaluates various couples of power variation and desired remuneration to be sent to the VAE for further elaborations and, for showing its potentiality, is applied to two different case studies: a passive user with only controllable loads and prosumers with controllable loads, photovoltaics and a storage system. The aggregation algorithm is instead discussed in detail, and its performance is evaluated for different population sizes.https://www.mdpi.com/2076-3417/12/1/430demand responsebottom-up aggregationprosumerVAE
spellingShingle Diego Arnone
Michele Cacioppo
Mariano Giuseppe Ippolito
Marzia Mammina
Liliana Mineo
Rossano Musca
Gaetano Zizzo
A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation Process
Applied Sciences
demand response
bottom-up aggregation
prosumer
VAE
title A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation Process
title_full A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation Process
title_fullStr A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation Process
title_full_unstemmed A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation Process
title_short A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation Process
title_sort methodology for exploiting smart prosumers flexibility in a bottom up aggregation process
topic demand response
bottom-up aggregation
prosumer
VAE
url https://www.mdpi.com/2076-3417/12/1/430
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