Section: New Results

Multi-objective Demand side management in smart grids

Participants: El-Ghazali Talbi (externel collaborators: Rachid Ellaia, Zineb Garroussi - Univ. Rabat Morocco)

Residential demand side management (DSM) is one of the most challenging topics in smart grids. In this work, a multi-objective model for the residential DSM is proposed. The smart home is composed of appliances, a battery and a photovoltaic panel. The resolution of this model is a matheuristic based on combining a multi-objective evolutionary algorithm and an exact liner programming solver (CPLEX). Candidate solutions in this hybrid approach are incompletely represented in the representation, and the exact solver is used as a decoder to determine the missing parts in an optimal way. 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 [17][18].