Energy Management Strategy in a Residential Battery Energy Storage System

This paper examines the issue of energy management in a residential Battery Energy Storage System (BESS). The development of the energy management strategy (EMS) involves the modeling of the BESS and the modeling of a prediction aging mechanism for the Lithium Ion battery stack. In addition, EMS comprises the identification of the needs and requirements for energy management in a dynamic pricing environment where the Power Supplier (GRID) is the monadic source of power to the resident and to the BESS. The main objective of the proposed EMS is to prevent the fast aging of the Lithium-Ion batteries with respect to the maximum financial benefits for the consumer. Moreover, due to the dynamic pricing environment and the uncertainty that the forecast energy demand will match the actual energy demand, the ability of the EMS to update the proposed strategy during the day on hourly basis can he deemed vital. Indicative results of the proposed method are presented in order to demonstrate the ability of the BESS's to provide an optimal solution for covering the maximum energy demand with the minimum degradation effects for the batteries.