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

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IIT-24-374C.pdf (663.7Kb)
Autor
Trevisan, Riccardo
Galici, Marco
Pilo, Fabrizio
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info:eu-repo/semantics/draft
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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.
 
URI
http://hdl.handle.net/11531/105022
Uncertain Decision Making: A Cooperative Agent Model For Flexible Renewable Energy Comunities
Palabras Clave

Energy Communities, Robust optimization, Scenario Analysis, Uncertainty, Demand flexibility.
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Repositorio de la Universidad Pontificia Comillas copyright © 2015  Desarrollado con DSpace Software
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