Title :

Hybrid Evolutionary Algorithm for Residential Demand Side Management with a Photovoltaic Panel and a Battery

Author(s) :

Garroussi, Zineb [Auteur]
Ecole Mohammadia d'Ingénieurs [EMI]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Ellaia, Rachid [Auteur]
Laboratoire d'Etudes et Recherche en Mathématiques Appliquées [LERMA]
Talbi, El-Ghazali [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Lucas, Jean-Yves [Auteur]
EDF R&D [EDF R&D]

Conference title :

ICCAIRO 2017 - International Conference on Control, Artificial Intelligence, Robotics & Optimization

City :

Prague

Country :

République tchèque

Start date of the conference :

2017-05-20

Book title :

Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO), 2017 International Conference on

Publisher :

IEEE

HAL domain(s) :

Informatique [cs]
Computer Science [cs]/Operations Research [math.OC]

English abstract : [en]

Residential demand side management (DSM) is one of the most challenging topics in smart grids. In this paper, a multiobjective model for the residential DSM over a 24-hour horizon is presented. This model consists of ...
Show more >Residential demand side management (DSM) is one of the most challenging topics in smart grids. In this paper, a multiobjective model for the residential DSM over a 24-hour horizon is presented. This model consists of appliances, a battery and a photovoltaic panel. The resolution of this model is based on combining a multiobjective evolutionary algorithm (NSGA-II) and an exact solver (CPLEX). Solutions in this hybrid approach are incompletely represented, and optimally the exact solver determines the missing parts of the encoding. In our case, hybridization involves solving a MILP sub-problem by CPLEX to manage the battery and the photovoltaic panel constraints. Through case studies, It is shown that the coordination between the photovoltaic panel and the battery is effective to reduce the total electricity cost, the discomfort and the standard deviation of power consumed especially in summer conditions.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL