Energy storage solutions for grid applications are becoming more common among grid owners, system operators and end-users. Storage systems are enablers of several possibilities and may provide.
Service stacking using energy storage systems for grid applications – a review. Energy storage systems (ESS) have the possibility to provide several services which support the power system. Although, some services and applications only require storage capacity during seasons or periods of the year.
Energy storage systems can maximize their value by providing multiple services within a specified timeframe and 'stacking' the resulting revenue streams. This is called revenue stacking (alternative names: value stacking or benefit stacking) and has three major benefits that can help making energy storage projects profitable:
Does service stacking increase the utilization of storage units?
It can be concluded that service stacking is a promising method to implement for storage operators to increase the degree of utilization of storage units. It may also be concluded that the increased need for ancillary services increases the opportunity for storage units to participate in markets for energy and ancillary services.
What is service stacking using ESS?
Service stacking using ESS for grid applications Service stacking, alternatively value stacking or revenue stacking, is a promising method to optimize and maximize the technical and economic potential of an ESS. The aim is to find one or more additional services which the ESS can provide, besides of the main service.
What is the optimal ESS for service stacking?
From the reviewed literature the “optimality” approach varies frequently between the two cases with a majority of objective functions maximizing profit as main target. From the review it is found that the typical ESS used for service stacking is a 1C storage with approx. 1 MW/1 MWh rated power and energy capacities.
Why is service stacking important?
There are several interesting cases where service stacking is crucial. Frequency supportive services are the most common to add when expanding portfolios. There is no standard method to solve optimization of service portfolios. The method is applicable to all storage technologies throughout the power system.