Titre :

Distributed Economic Dispatch of Embedded Generation in Smart Grids

Auteur(s) :

DIBANGOYE, jille [Auteur]
Institut National des Sciences Appliquées de Lyon [INSA Lyon]
Doniec, Arnaud [Auteur]
Fakham, Hicham [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Colas, Frederic [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Guillaud, Xavier [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]

Titre de la revue :

Engineering Applications of Artificial Intelligence

Numéro :

44

Pagination :

64-78

Éditeur :

Elsevier

Date de publication :

2015

ISSN :

0952-1976

Mot(s)-clé(s) :

Smart grid
Multi Agent Planning
Distributed Stochastic Unit Commitment Problem

Mot(s)-clé(s) en anglais :

Smart grid
Distributed stochastic unit commitment problem
Multi-agent planning
Information preserving

Discipline(s) HAL :

Informatique [cs]/Intelligence artificielle [cs.AI]
Sciences de l'ingénieur [physics]/Energie électrique

Résumé en anglais : [en]

In a smart grid context, the increasing penetration of embedded generation units leads to a greater complexity in the management of production units. In this paper, we focus on the impact of the introduction of decentralized ...
Lire la suite >In a smart grid context, the increasing penetration of embedded generation units leads to a greater complexity in the management of production units. In this paper, we focus on the impact of the introduction of decentralized generation for the unit commitment (UC) problem. Unit commitment problems consist in finding the optimal schedules and amounts of power to be generated by a set of generating units in response to an electricity demand forecast. While this problem has received a significant amount of attention, classical approaches assume that these problems are centralized and deterministic. However, these two assumptions are not realistic in a smart grid context. Indeed, finding the optimal schedules and amounts of power to be generated by multiple distributed generator units is not trivial since it requires to deal with distributed computation, privacy, stochastic planning, etc. In this paper, we focus on smart grid scenarios where the main source of complexity comes from the proliferation of distributed generating units. In solving this issue, we consider distributed stochastic unit commitment problems. We introduce a novel distributed gradient descent algorithm which allows us to circumvent classical assumptions. This algorithm is evaluated through a set of experiments on real-time power grid simulator.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Commentaire :

https://hal.archives-ouvertes.fr/hal-01890396v1

Collections :

• Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697

Équipe(s) de recherche :

Équipe Réseaux

Date de dépôt :

2020-05-15T13:26:50Z
2022-02-11T08:04:50Z
2022-02-11T08:21:02Z