Interoperable opeN-source Tools to Enable hybRidisation, utiliSation, and moneTisation of stORage flexibility

UC7 – Adaptive BESS management for autonomous grid operation

Objective

Adaptive assignment of the BESS role in distributed storage system for improved flexibility optimization and autonomous (micro-grid) operation.

Partners involved
HESS, EATON
Pilots for demonstration
Simulation workbench and laboratory testbed
Interoperability tools
Client/Server, Protocol Converter, aggregation platform
New EMS HESS systems:
HyDEMS

Description

In this use case a distributed energy storage system comprising storage units of the same type but from potentially different manufacturers will be considered.

An example is a cluster of industrial / residential batteries that will be placed in one of the demonstrators.

The actual and former grid conditions, flexibility history, real-time data from the batteries and the historical data related to former battery usage will be aggregated to identify the operational mode of the batteries for autonomous grid operation. Instead to follow a master-slave architecture in which one battery unit operates in a grid forming mode and the others are grid-followers, a data-based algorithm which can be in an aggregator will determine the role of each battery.

In this adaptive approach is gained which will enhance flexibility optimization of batteries and other assets in the autonomous grid. This output on the next battery role will be communicated to the interoperability software which will activate the corresponding battery strategy (either grid-forming or grid-following) as well as to the energy management system for further flexibility optimization.

Other use cases

Enable monetisation of Distributed Energy Resources (DER) flexibility at various markets.
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Enhance community self-sufficiency mode.
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Include autonomous grid-supportive functions into interoperable software tools.
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Define requirements for innovative services related to virtual inertia and virtual damping.
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Test the IEEE 2030.5 would be in the 2nd life battery inverter and the bms/computer of the 4th building.
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Make use of local batteries to enable higher consumptions without increasing contracted power and infrastructure investment.
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Enable flexibility optimization of a multi-physics-based system on a local (building) level. Enable (interoperable) integration of the home management system into energy community/neighborhood and flexibility optimization on the global level (with home management system being a node).
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Increase the flexibility optimization when different charger types (w/o storage, w/o V2G capability) are available and utilized. Increase the capability of the EV charging cluster in terms of grid supporting services
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