#GetToKnowDERlabMembers is the newest initiative from DERlab aiming to highlight our valuable members and their expertise.
Starting us off is PNDC!
Established in 2013 as one of the University of Strathclyde‘s industry-facing innovation centres, PNDC has over a decade of network innovation impact and a track record of accelerated technology testing in a controlled, real-world validation environment in collaboration with government, academia, and industry. In cooperation with delivery partners, PNDC advances power networks and accelerates the decarbonisation of heat and transport. It supports the commercialisation of whole energy system solutions and provides the real-world evidence base required to maximise the success of innovation projects transitioning to business-as-usual deployment
PNDC and the University of Strathclyde’s Dynamic Power Systems Laboratory are proud to collaborate with DERlab, a leader in distributed energy resources (DERs) research. Underpinned by the expertise of DERlab, PNDC’S open-access facilities provide a representative test bed that allows technology manufacturers, SMEs, system operators and integrators to de-risk and validate technology in a safe, controlled environment before deployment. As innovators in energy research and innovation, the partnership with DERlab continues to be invaluable as we collectively shape the future energy system for a just transition to net zero.
As a DERlab member, PNDC has embarked on a significant collaboration with the esteemed Austrian Institute of Technology (AIT) as part of ERIGrid 2.0: European Research Infrastructure supporting Smart Grid and Smart Energy Systems Research, Technology Development, Validation and Roll Out.
The project, ‘Data Driven Detection of Malfunctioning Devices in Power Distribution Systems Validation,’ investigated a concept for remote detection of malfunctioning grid-supporting devices such as inverters, battery energy storages or controllable loads.
This collaboration underscores the crucial role of our collective efforts in advancing smart grid and smart energy systems research.
Data collection for the development of data-driven malfunction detection in smart future power grids