Loads scheduling for demand response in energy communities

Sangaré, Mariam; Bourreau, Eric; Fortz, Bernard; Pachurka, Amaury; Poss, Michael

Type de document :

Pré-publication ou Document de travail

DOI :

10.2139/ssrn.4255726

Titre :

Loads scheduling for demand response in energy communities

Auteur(s) :

Sangaré, Mariam [Auteur]
Methods, Algorithms for Operations REsearch [LIRMM | MAORE]
Bourreau, Eric [Auteur]
Methods, Algorithms for Operations REsearch [LIRMM | MAORE]
Fortz, Bernard [Auteur]
Integrated Optimization with Complex Structure [INOCS]
Graphes et Optimisation Mathématique [Bruxelles] [GOM]
Pachurka, Amaury [Auteur]
Beoga
Poss, Michael [Auteur]
Methods, Algorithms for Operations REsearch [LIRMM | MAORE]

Mot(s)-clé(s) en anglais :

Energy communities
Loads scheduling
Column generation heuristic

Discipline(s) HAL :

Informatique [cs]/Recherche opérationnelle [cs.RO]

Résumé en anglais : [en]

This paper focuses on optimizing the collective self-consumption rate in energy communities by scheduling members' loads. The community remains connected to the public grid and comprises prosumers, traditional consumers, ...
Lire la suite >This paper focuses on optimizing the collective self-consumption rate in energy communities by scheduling members' loads. The community remains connected to the public grid and comprises prosumers, traditional consumers, and distributed storage units. Prosumers can exchange their energy with the public grid or other members. The proposed strategy aims at implementing a Demand Side Management program taking advantage of controllable loads' characteristics. A MILP formulation of the problem allows, on the one hand, to give the optimal planning for electrical devices' operations. On the other hand, it provides optimal solutions for managing the storage units, peer-to-peer exchanges, and interactions with the public grid to minimize the energy flows from the public grid over time. However, this MILP only allows for solving small problem instances. Thus, we develop a column generation-based heuristic for large problem instances. Our numerical experiments based on real data collected in the south of France show that joining an energy community saves money on energy bills and reduces the total energy drawn from the primary grid by at least 15%.Lire moins >

Langue :

Anglais

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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