Information Fusion of Multi-Vector Real-Time Data Streams for Energy Management in Emerging Power Grids
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Overarching goal
02
Goals
Edge-computing boosting grid intelligence for managing distributed generation and high RES.
A software tool to optimize MV grid operations using PMU data for state estimation.
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Objectives
Develop multi-vector, heterogeneous sources data integration framework
Implement correlation and data analytics computing
Implement a hybrid state estimator for distribution network operators
Integration of real-time digital simulation tools and live demonstration in campus grid
INFUSE Demonstrators
Trial Sites
Trail Sites in Romania

Romanian partners (ICPE-CA and UPB) will contribute with their high expertise and infrastructure which supports a wide range of renewable energy sources applications, products, services and technical consultancy on PV modules, BIPV, Smart Grids, wind and hydropower, operation and maintenance. In addition, the coordinator will enable the adoption of Fiware platform philosophy and extend its use cases for HIL simulation (Typhoon) implementing and testing the capabilities of the digital twins for various scenarios
Trail Sites in Czech Republic

Key Topics
Enhancing grid intelligence
Multi-vector heterogeneous sources data integration
Robust data integration and exchange framework within a software cross-platform using a standard format
Correlation and data analytics computing
Hybrid state estimators
Real-time digital simulation tools
Optimization of the MV distribution grid operation
Consortium Partners







