News Archive

WP2: Proactive Maintenance

There is a large need for automatic asset management in order for the grid owners to be able to streamline preventive maintenance. The power quality measurement and new pro-active trend analysis can possibly detect incipient faults at a very early stage. The theory for this work package is that new development including pattern recognition techniques […]

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WP3: Power Consumption Studies through Pattern Recognition

The ongoing changes of production and consumption in the power system requires a better understanding, This work package will explore measurement and pattern recognition methods and techniques for analysis in order to enable a more effective use of the power system. WP3 will develop, test and validate different methods to identify unwanted events in the […]

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WP4: Local Energy Systems – Micro Grids

Analysis of advanced asset management on PV, inverters and energy storage by using patternrecognition. They will test the concept of micro grids, both with and without connection to the grid. Two demonstrator areas:- Smart distributed power with PV and energy storage (Glava test park and Eltek system)- Optimised operation of PV plants with advanced error […]

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WP5: Power Regulation by Voltage Control

Investigate the relationship between changes in voltage and power in order to estimate how much power can be regulated under the applicable regulations and under the consideration that no voltage variations cause damage or disturbances. WP Leader:Georgios Foskolosgeorgios.foskolos@malarenergi.seMälarenergi, Sweden Herrljunga Elektriska elnätsbolag ser nytta av Metrums AI Metrums löpande forskning och utveckling inom articfiell intelligens […]

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WP6: Hosting Capacity

STRI’s Hosting Capacity methodology can be used to identify the maximum amount of new production or consumption that can be connected to a system without resulting in an unacceptable reduction of power quality, or adversely impacting other customers. Performance indicators can be e.g. disturbance levels of slow voltage variations, overloading or harmonics. Knowing the actual […]

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WP7: Inertia evaluation and support

The level of inertia in the power system has become a major challenge in many countries as the share of renewable production increases. At the same time, TSOs have challenges in assessing the actual amount of inertia operational in the system. In this Work Package, pattern recognition technology will be applied on measurement and analysis of […]

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Managing partner was

Metrum, Sweden
www.metrum.se

Project Partners were

Eltek, Norway
www.eltek.com

Rejlers Embriq, Norway
www.embriq.no

Enerjisa, Turkey
www.enerjisa.com.tr

Glava Energy Center, Sweden
www.glavaenergycenter.se

MälarEnergi, Sweden
www.malarenergi.se

STRI, Sweden
www.stri.se

Funding partners were

Smart Grids Plus ERA-Net
www.eranet-smartgridsplus.eu

Swedish Energy Agency
www.energimyndigheten.se

The Research Council of Norway

www.forskningsradet.no

Tübitak
www.tubitak.gov.tr

Horizon 2020
www.Ec.europa.eu/programmes/horizon2020

Other contributing organisations were

- Prediktor
- Municipality of Arvika
- Pöyry
- University of Borås
- University of Dalarna
- Karlstad University

Contact us

info@metrum.se
Copyright European Pattern Recognition Project