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Distributed optimization in energy communities: a focus on flexibility provision Gonzalez Iakl, Esteban Daniel Muñoz Peña, Paula Gomis Bellmunt, Oriol Prieto Araujo, Eduardo Señis López, Aleix Fajardo, Marina Universitat Politècnica de Catalunya. Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments Universitat Politècnica de Catalunya. Doctorat en Enginyeria Elèctrica Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica Universitat Politècnica de Catalunya. CITCEA-UPC - Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments Àrees temàtiques de la UPC::Enginyeria elèctrica Flexibility Economic dispatch Energy community Auxiliary problem principle Distributed optimization © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The emergence of energy communities (ECs) as new stakeholders in modern electrical grids presents an opportunity to address the challenges associated with integrating distributed energy resources, such as increased uncertainty and variability in generation, transmission grid saturation, or diminished power quality, among others. The ability of an EC to provide flexibility is therefore paramount. However, data privacy and investment costs are the main drawbacks to achieving optimal operation. This paper proposes a distributed optimization framework designed for the economic dispatch (ED) of ECs, employing the auxiliary problem principle (APP) decomposition technique. The primary focus is to study the effects of flexibility provision in real-time control while addressing data privacy concerns and minimizing communication infrastructure investments. The proposed algorithm is tested in a case study, providing insights into the selection of the control parameters of the APP framework to improve the convergence properties. Postprint (author's final draft) 2024 Conference report Gonzalez, E. [et al.]. Distributed optimization in energy communities: a focus on flexibility provision. A: International Conference and Exhibition on Electricity Distribution. "CIRED 2024 Vienna Workshop: 19-20 June 2024: conference location: Vienna, Austria". Stevenage: The Institution of Engineering and Technology, 2024, p. 1-4. ISBN 978-1-83724-122-4. DOI 10.1049/icp.2024.1958 . 978-1-83724-122-4 https://hdl.handle.net/2117/428599 10.1049/icp.2024.1958 eng https://ieeexplore.ieee.org/document/10853130 Open Access 4 p. application/pdf The Institution of Engineering and Technology