Operational Value-Based Energy Storage Management for Photovoltaic (PV) Integrated Active Power Distribution Systems

Abstract

This paper presents an operational cost-based approach for battery energy storage management. In this approach, the operation value is derived to optimally manage one battery application—photovoltaic (PV) capacity firming or PV smoothing. The proposed approach is an optimization framework that augments a PV smoothing algorithm where the battery is used to smooth the output of intermittent PV farm. The objective of the optimization framework is to provide maximum operational benefits for the battery. To this end, first, a formal method is developed that finds the operational benefits which is then demonstrated using a field verified electro-magnetic transient (EMTP) model of a real-world feeder. Second, the positive effect in the operation of the feeder is quantified in terms of monetary value. It is demonstrated that the knowledge of monetary value can provide better operational benefits of energy storage applications such as PV smoothing.