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Title: Assessing the Influence of Different Goals in Energy Communities’ Self-Sufficiency—An Optimized Multiagent Approach
Authors: Reis, Inês F. G. 
Gonçalves, Ivo 
Lopes, Marta A. R. 
Antunes, Carlos Henggeler 
Keywords: energy communities; prosumagers; consumers; self-sufficiency; multiagent systems; genetic algorithms
Issue Date: 2021
Publisher: MDPI AG
Project: SFRH/BD/143530/2019 
SUSPENSE (CENTRO-01–0145-FEDER-000006) 
MAnAGER (POCI-01-0145- FEDER-028040) 
Serial title, monograph or event: Energies
Volume: 14
Issue: 4
Abstract: Understanding to what extent the emergence of prosumers and prosumagers organized in energy communities can impact the organization and operation of power grids has been one of the major recent research avenues at the European level. In renewable-based communities aiming to reach some level of energy self-sufficiency, a key issue to be addressed is assessing how the presence of end-users playing different roles in the system (self-consuming, producing and trading, performing demand management, etc.) can influence the overall system performance. In this setting, this paper combines Distributed Artificial Intelligence and optimization approaches to assess how prosumagers and consumers pursuing different goals can influence the energy self-sufficiency of a local energy community. The residential demand is accurately modeled, and the agents’ preferences are considered in the modeling to represent a smart community. The results show that although energy community members may have conflicting individual goals, the overall system self-sufficiency can be maximized with economic benefits for all stakeholders, thus illustrating the advantages of energy communities.
ISSN: 1996-1073
DOI: 10.3390/en14040989
Rights: openAccess
Appears in Collections:FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais

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