A Forecasting, Optimization and Scheduling System for Energy Storage Systems in distribution networks

Energy Storage Systems (ESS) can offer a combination of services to transmission and distribution network operators and energy suppliers. In order to do this effectively, the power and energy resources of the energy storage system must be allocated ahead of time, and account for uncertainty in service delivery. This paper presents a method for scheduling these resources, which accounts for the limited resources of the ESS and includes a cost based optimization, which selects the service portfolio with the greatest expected value. The algorithms presented have been implemented as part of the Smarter Network Storage project, and are now being used to schedule the largest battery storage installation in the UK.