TY - GEN
T1 - Fair Energy Allocation for Collective Self-consumption
AU - Jorquera-Bravo, Natalia
AU - Elloumi, Sourour
AU - Kedad-Sidhoum, Safia
AU - Plateau, Agnès
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - This study explores a collective self-consumption community with several houses, a shared distributed energy resource (DER), and a common battery energy storage system. Each house has an energy demand over a discrete planning horizon, met either by using the DER, or the battery, or by purchasing electricity from the main power grid. Excess energy can be stored in the battery or sold back to the main grid. The objective is to determine a supply plan ensuring a fair allocation of renewable energy provided by the DER while minimizing the overall cost of the microgrid. We investigate and discuss the formulation of such an optimization problem using mixed integer linear programming. We show some dominance properties that allow the model to be reformulated into a linear program. We study some fairness metrics like the proportional allocation rule and max-min fairness. Finally, we illustrate our proposal with a real case study in France with up to seven houses and a one-day time horizon with 15-min intervals.
AB - This study explores a collective self-consumption community with several houses, a shared distributed energy resource (DER), and a common battery energy storage system. Each house has an energy demand over a discrete planning horizon, met either by using the DER, or the battery, or by purchasing electricity from the main power grid. Excess energy can be stored in the battery or sold back to the main grid. The objective is to determine a supply plan ensuring a fair allocation of renewable energy provided by the DER while minimizing the overall cost of the microgrid. We investigate and discuss the formulation of such an optimization problem using mixed integer linear programming. We show some dominance properties that allow the model to be reformulated into a linear program. We study some fairness metrics like the proportional allocation rule and max-min fairness. Finally, we illustrate our proposal with a real case study in France with up to seven houses and a one-day time horizon with 15-min intervals.
KW - Energy Management
KW - Fair Allocation
KW - Production Planning
U2 - 10.1007/978-3-031-60924-4_29
DO - 10.1007/978-3-031-60924-4_29
M3 - Conference contribution
AN - SCOPUS:85195486510
SN - 9783031609237
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 388
EP - 401
BT - Combinatorial Optimization - 8th International Symposium, ISCO 2024, Revised Selected Papers
A2 - Basu, Amitabh
A2 - Mahjoub, Ali Ridha
A2 - Mahjoub, Ali Ridha
A2 - Salazar González, Juan José
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Symposium on Combinatorial Optimization, ISCO 2024
Y2 - 22 May 2024 through 24 May 2024
ER -
