Uncertain Decision Making: A Cooperative Agent Model for Flexible Renewable Energy Comunities

The paper proposes an innovative model for integrating energy communities within urban districts according to the smart cities paradigm. The approach developed contemplates the proactive participation of members of an energy community in providing demand-side flexibility to address the variability and non-programmability of renewable energy with the goal of harnessing locally produced energy. A framework for transactive energy has been developed that incorporates forecasting methodologies, uncertainty assessment through Monte Carlo simulations and mixed-integer linear optimization based on cooperative game theory. The effectiveness of the developed model is illustrated through a case study showing resilience and cooperative capabilities in an inherently uncertain decision-making process.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/upec61344.2024.10892579
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Uncertain Decision Making: A Cooperative Agent Model for Flexible Renewable Energy Comunities

Riccardo Trevisan, Emilio Ghiani, Fabrizio Pilo, Marco Galici
Integrated Energy Systems Optimization
article

Uncertain Decision Making: A Cooperative Agent Model for Flexible Renewable Energy Comunities

Riccardo Trevisan, Emilio Ghiani, Fabrizio Pilo, Marco Galici
article en

Abstract

The paper proposes an innovative model for integrating energy communities within urban districts according to the smart cities paradigm. The approach developed contemplates the proactive participation of members of an energy community in providing demand-side flexibility to address the variability and non-programmability of renewable energy with the goal of harnessing locally produced energy. A framework for transactive energy has been developed that incorporates forecasting methodologies, uncertainty assessment through Monte Carlo simulations and mixed-integer linear optimization based on cooperative game theory. The effectiveness of the developed model is illustrated through a case study showing resilience and cooperative capabilities in an inherently uncertain decision-making process.

University of Cagliari (IT), Universidad Pontificia Comillas (ES)
Openalex Percentile: Top 74%
Integrated Energy Systems Optimization
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