Optimal power management framework for smart homes using electric vehicles and energy storage

Residential Buildings are considered as the most important and eventual beneficial part of the future smart energy system. Therefore, development of an efficient home power management framework (HPMF) to intelligently manage the prosumers power procurement is necessary. This system will be used to optimally govern the use of home appliances, it will also manage the power generated by renewables (PGR), as well as this system will also optimization the charging/discharging of the energy storage units (ESU) and electric vehicles (EVs). In this paper, we have proposed a holistic method to optimize the use of different home appliances according to the pmsumers preferences and defined schedule. Moreover, a separate system for controlling the charging/discharging of ESU and EVs has been designed which considers their capital costs while integrating them with the HPMF to enable flexibility in the use of stored power which enhances the desired economic outcomes besides it also increases the ESU life. Using Mixed integral linear programming' (MILP') and the proposed power management framework it is possible to intelligently optimize the energy procurement of a smart home, which not only guarantee the minimal energy procurement cost as well as it increases consumer comfort. A comprehensive performance analysis of the proposed model has been carried out to prove its robustness and effectiveness.

Automated summary

Residential buildings play a crucial role in the future smart energy system, necessitating the development of an efficient home power management framework. This framework intelligently manages power procurement, optimizes appliance usage, and enhances economic outcomes. Using mixed integral linear programming, it is possible to intelligently optimize energy procurement and increase consumer comfort.