A Home Energy Management Incorporating Energy Storage Systems with Utility under Demand Response usi

Abstract: 

This paper proposes a Home Energy Management System (HEMS) that optimizes the load
demand and distributed energy resources. The optimal demand/generation profile is presented
while considering utility price signal, customer satisfaction, and distribution transformer condition.
The electricity home demand considers electric vehicles (EVs), Battery Energy Storage Systems
(BESSs), and all types of non-shiftable, shiftable, and controllable appliances. Furthermore, PV-based
renewable energy resources, EVs, and BESSs are utilized as sources of generated power during
specific time intervals. In this model, customers can only perform Demand Response (DR) actions
with contracts with utility operators. A multi-objective demand/generation response is proposed to
optimize the scheduling of various loads/supplies based on the pricing schemes. The customers’
behavior comfort level and a degradation cost that reflects the distribution transformer Loss-of-Life
(LoL) are integrated into the multi-objective optimization problem. Simulation results demonstrate
the mutual benefits that the proposed HEMS provides to customers and utility operators by minimizing electricity costs while meeting customer comfort needs and minimizing transformer LoL
to enhance operators’ assets. The results show that the electricity operation cost and demand peak
are reduced by 31% and 18%, respectively, along with transformer LoL % which is reduced by 28%
compared with the case when no DR was applied.