A Scheduling System for an Energy Storage Device using Photovoltaic and Demand Forecasting

The increasing uptake of renewable energy sources with intermittent and variable power generation has led to an increase in the development of battery energy storage systems (BESS) to help manage energy grids. Designing these scheduling systems is a complex challenge due to the volatile nature of energy generated through sources like wind and the sun. This paper focuses on the scenario of demand peak reduction for a primary distribution substation located in the southern UK, which is supplemented by a nearby Solar Photovoltaic (PV) farm. Time series forecasting methods are utilized to forecast PV generation and Energy demand a week in advance and utilize that to optimally control a battery storage device connected to the primary substation and the solar farm, to reduce the evening peak period by utilizing as much solar generation stored from earlier in the day.