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

UC8 – Multiphysics flexibility optimization for Home Management Systems and their global integration

Objective

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).

Partners involved
Jülich (FZJ), EATON, RWTH Aachen University
Pilots for demonstration
Open
Interoperability tools
Client/Server + legacy system Protocol Converter, T
New EMS HESS systems:
Residential/Commercial Power Management

Description

The variety of EV chargers in terms of their characteristics is continuously increasing. Interoperable software tools can support the aggregation and utilisation of these different types of chargers and enhance flexibility optimization.

In this Use case we will consider a cluster of EV chargers of different types in grid connected scenario and “standalone”. In particular we will consider a combo EV charger with integrated storage and bidirectional power flow, EV chargers with V2G capability and a unidirectional EV charger. These chargers provide different functionalities and require for different interfaces (vehicle and connection to the grid).

The management system collects data from the interoperable software as well as historical data and optimizes application of EV chargers such that the charging cluster provides grid-supporting services and fulfill the charging requirements. In particular the flexibility optimization of the storage system in the combo EV charger when integrated in a cluster of chargers or connected to the grid is to be resolved.

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