EUniversal tools feature in the Innovation Radar of European Commission

Several EUniversal products and tools have been identified and recognized by the Innovation Radar of the European Commission, strongly highlighting and showcasing their impact and innovation.

August 2022

The Innovation Radar is a European Commission initiative to identify high potential innovations and innovators in EU-funded research and innovation projects. Its goal is to allow interested stakeholders to discover the outputs of EU innovation funding and give them a chance to seek out innovators who could follow in the footsteps of companies. This platform is a first step to achieving this ambition of the European Commission.

The EUniversal project aims to develop such innovative tools which advance the state-of-the-art solutions available to energy businesses and stakeholders towards new flexibility markets and products, shaping the pathway to a decarbonized, affordable and resilient EU energy system.
As such, several EUniversal products and tools have been identified and recognized by the Innovation Radar of the European Commission, strongly highlighting and showcasing their impact and innovation. 

In particular, the following EUniversal tools feature in the EU Innovation Radar:

Day-ahead LV congestion forecast tool

This is a statistical power flow-based tool that uses statistical and artificial intelligence techniques to calculate the probability density of voltage and current levels at all nodes in a LV network, given the available data under deep uncertainty.

Data-driven State Estimation (DdSE)

DdSE estimates voltage magnitudes, relying on historical data collected by the smart grid infrastructure and generate probabilistic alarms for operators in two distinct timeframes: predictive estimating the next t system states (e.g., up to 48 hours with a 15-minute resolution) or real-time, estimating the present system state (e.g., every 15 minutes).

Data-driven Voltage Control (DdVC)

DdVc implements a data-driven approach for voltage control in LV networks (including a privacy protocol for handling personal data like active power measurements). The tool can run in real-time for corrective voltage control or in predictive mode for supporting the DSO identification of flexibility needs and bid selection.

Wide area monitoring system for determining HV lines allowable power flow in the real and forecasted weather conditions (WAMS4DLR)

TheWAMS4DLR tool can be used for operational planning utilizing the flexibility of the grid and for the detection of possible congestion. WAMS4DLR utilises weather-based dynamic line rating (DLR) which is nowadays the only measure to cope with increased power transmission demand, especially when the network infrastructure upgrading is hardly possible.

Resilience-informed planning of distribution networks

This tool is a novel decision-aid algorithm for supporting distribution system operators make a well-informed decision on the best portfolio options for enhancing their resilience against extreme weather and natural hazards, while achieving efficient trade-offs between reliability, resilience and cost.

Optimal bids recommender

This tool is a clearing engine that can be installed directly on the SO’s servers and be used as a tool to help. Instead of having the flexibility market platforms (FMO) performing the clearing, that responsibility is then switched towards the DSO. The tool can therefore fetch the data from multiple market platforms that operate in parallel and the DSO can keep full control of both their data and actions.

Redispatch 2.0 combined with flexibility markets

The German demonstration of the EUniversal project combines the German mandatory process of Redispatch 2.0 and a market-based approach to mitigate grid constraints in a cascaded operation from the low voltage to high voltage level. Flexibility Service Providers (FSPs)/Aggregators as CENTRICA register their assets and submit sell orders providing product-related information such as location, asset type, time, and price of flexibility.


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