Aggregators and Local Energy Communities (LEC) Intelligence services for congestion management
This action can be carried out by companies specialized in artificial Intelligence, data science, software development, GUI’s development. From the server’s point of view, the technologies should be:
- ASP.Net Core 3.1
- Entity Framework Core 3.1.7
- MS SQL Server 2019 Express
- Python for AI algorithms
On the client side, the Angular framework is preferred to design the user interface and to allow interaction between stakeholders.
Congestion management, aggregator and LEC platform available to register FR and flexibility products
In the future energy market, Aggregators, Large users and LEC will be able to provide Flexibility to the SOs (TSO and DSO) by managing Flexibility Resources (FRs) grouped to compose Flexibility Products (amount of flexibility of power in a certain period). In this context, it is very important for Aggregators, Large Users and LEC to be able to define in advance (day-ahead) the most profitable time of the day at which provide flexibility and to quantify it, accordingly, in an optimal way. At the same time, once the Flexibility Products have been qualified Aggregators, Large Users and LEC should optimize the management of FR by properly prioritizing their activation.
Services and tools to be implemented in the Aggregators/Large Users/LEC platform should assist the Aggregators both in defining, the day-ahead, the optimal flexibility to be offered to the market and in optimizing the management/activation of flexibility resources once the Flexibility Product (FP) is activated. The tool will be necessary to optimize the FP the day-ahead and to optimally manage the flexibility resources once the FP will be activated.
Historical or simulated dataset of RES production οf some consumer profile and of some profiles of flexibility resources; technical specifications of flexibility resources; API to be connected to existing platform. FR could be: EV charging stations, batteries, programmable loads at large or residential users.
Tools/software and algorithms will interact or will to be implemented and integrated in the existing Aggregator platform (developed by INTERRFACE partners in the Demo). The output expected are: i) the optimal planning of FP to be offered the day-ahead to the market; ii) the optimal strategy to activate the FR according to the FPs qualified. Indeed, not all the FPs could be qualified and FR could have a different profile/availability with respect to the foreseen day-ahead optimization profile.
The tool/service will receive FR data from the “Aggregator platform” (developed by INTERRFACE partners in the Demo) and will elaborate optimal profile for FSP to be offered to the market via the IEGSA Flexibility Platform. After market sessions, SOs qualifies the FP in the IEGSA platform which sends results of activation to the Aggregator. The tools/services will receive from the “Aggregator platform” results of qualification and will develop an optimal management of FRs accordingly, by prioritizing their activation.
Demo Area 1 (congestion management and balancing)
The initial period of the cascade funding project, before the implementation phase, will be used to define both tools/services and KPI for their assessment.
In the implementation phase, the identified tools/services will be tested in two phases: during the first phase, they will be tested/simulated on historical data; in the second one, they will be tested in the real demo.
Important information for applicants
The Demo deals with:
- Aggregators of batteries
- Aggregators of EV charging stations
- Large User (CHP, smart building, water network, pumping station.)
- Local Energy Communities of 5-10 residential users/prosumers
Added value on INTERRFACE project
The added value on INTERRFACE project is the development of tools/services for final consumers and local energy communities
Incorporation of Third Parties in particular for end-users flexibility
The proposed tool will deal with optimizing the flexibility resources as matter of proposing the optimal scheduling for the provision of ancillary services in day-ahead stage. This enables the end-users (of any type) to assign contractual relationships with Aggregators for the provision of grid services, in order to receive proportional reimbursement. The day-ahead scheduling may promote the end-users to provide the temporal flexibility of their resources for grid services.
Third Parties benefit from getting involved in the business case
The innovative tools and business models can be tested in a real environment. The innovative tools and business models can be representative of future EU market developments.