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Main Authors: Arvis, Hélène, Beaude, Olivier, Gast, Nicolas, Gaubert, Stéphane, Gaujal, Bruno
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2511.11191
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author Arvis, Hélène
Beaude, Olivier
Gast, Nicolas
Gaubert, Stéphane
Gaujal, Bruno
author_facet Arvis, Hélène
Beaude, Olivier
Gast, Nicolas
Gaubert, Stéphane
Gaujal, Bruno
contents The Unit Commitment (UC) problem consists in controlling a large fleet of heterogeneous electricity production units in order to minimize the total production cost while satisfying consumer demand. Electric Vehicles (EVs) are used as a source of flexibility and are often aggregated for problem tractability. We develop a new approach to integrate EV flexibilities in the UC problem and exploit the generalized polymatroid structure of aggregated flexibilities of a large population of users to develop an exact optimization algorithm, combining a cutting-plane approach and submodular optimization. We show in particular that the UC can be solved exactly in a time which scales linearly, up to a logarithmic factor, in the number of EV users when each production unit is subject to convex constraints. We illustrate our approach by solving a real instance of a long-term UC problem, combining open-source data of the European grid (European Resource Adequacy Assessment project) and data originating from a survey of user behavior of the French EV fleet.
format Preprint
id arxiv_https___arxiv_org_abs_2511_11191
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Integrating Aggregated Electric Vehicle Flexibilities in Unit Commitment Models using Submodular Optimization
Arvis, Hélène
Beaude, Olivier
Gast, Nicolas
Gaubert, Stéphane
Gaujal, Bruno
Optimization and Control
The Unit Commitment (UC) problem consists in controlling a large fleet of heterogeneous electricity production units in order to minimize the total production cost while satisfying consumer demand. Electric Vehicles (EVs) are used as a source of flexibility and are often aggregated for problem tractability. We develop a new approach to integrate EV flexibilities in the UC problem and exploit the generalized polymatroid structure of aggregated flexibilities of a large population of users to develop an exact optimization algorithm, combining a cutting-plane approach and submodular optimization. We show in particular that the UC can be solved exactly in a time which scales linearly, up to a logarithmic factor, in the number of EV users when each production unit is subject to convex constraints. We illustrate our approach by solving a real instance of a long-term UC problem, combining open-source data of the European grid (European Resource Adequacy Assessment project) and data originating from a survey of user behavior of the French EV fleet.
title Integrating Aggregated Electric Vehicle Flexibilities in Unit Commitment Models using Submodular Optimization
topic Optimization and Control
url https://arxiv.org/abs/2511.11191