Optimal Residential Load Scheduling Model in Smart Grid Environment

The current power system has been basically intended to enable just centralized power generation and unidirectional power flow. In order to improve the conventional power grid to a smart grid, which is the next generation of electrical power systems, the consideration of decentralized generation and the demand side management is an essential stage. After the improvement in the residential area connection, the resident has the possibility to schedule his production and consumption systems by himself aiming to reduce the global electricity cost during the next day. In this paper, an optimal residential load scheduling model is proposed by using the mixed integer linear programming. The proposed model presents an integration of renewable energy production, battery storage system with penetration of electric vehicles. It aims the scheduling of the production of generation systems and the operation time of electrical home appliances and electric vehicles, as a target to minimize the electricity bill of the residential consumer. Different scenarios with various grouping of production and consumption systems have been presented to prove and confirm the efficacy of the proposed technique and to find the optimal solution.