Impact of Demand Response Price Signal on Battery State of Charge Management at Office Buildings

As renewable energy power sources become more widespread in the future, storage batteries will be installed on the consumer side to ensure flexibility to absorb changes in their generated power. As a result, consumers seek to maximize profits by managing energy based on electricity demand and Demand Response (DR) price signals. At that time, the consumer will determine the installed capacity and charge/discharge operation of the storage battery considering the DR price signal. The purpose of this study is to provide possibility to control variance of SOC of storage battery by using DR price signal to office building consumers who own storage batteries and renewable energy. In this paper, the SOC probability distribution is calculated in consideration of uncertainty by using Monte Carlo simulation. In this case study, the simulation was executed for various scenarios of electricity charge pattern. As the results, it can be confirmed that the DR price signal affects the SOC variance. Besides, when the electricity prices decline, the installation of PV is suppressed at an office building, and the installation of a storage battery is increased.