Leveraging Networked Data for the Digital Electricity Grid

Project Details

Description

The Net2DG project will develop a proof-of-concept solution based on off-the-shelf computing hardware that uses existing communication technologies to leverage measurement capabilities of Smart Meters and DER inverters deployed in low-voltage (LV) grids. The solution will correlate this data with information from existing DSO subsystems in order to provide novel LV grid observability applications for voltage quality, grid operation efficiency and LV grid outage diagnosis. The resulting observability is subsequently used by specifically developed robust control and coordination approaches, which utilize existing actuation capabilities for voltage quality enhancement and loss minimization in the LV grid.
The use of off-the shelf components, the system level resilience and security solution, and the offered customizability of the Net2DG approach specifically address the needs of small and medium-sized DSOs (less than 100.000 clients). Therefore, the Net2DG solution will make small and medium-sized DSOs early adopters of digital technologies for LV outage diagnosis, grid operation efficiency and voltage quality.
The Net2DG solutions will be developed by a consortium including two small and medium-sized DSOs from two different European countries, academic partners, SME and startup technology companies, as well as Smart Meter and inverter vendors.
AcronymNet2DG
StatusActive
Effective start/end date01/01/201830/06/2021

Funding

  • EU - Horizon 2020: DKK27,504,444.00

Fingerprint Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.

  • Research Output

    • 7 Article in proceeding
    • 1 Journal article

    On the trade-off between timeliness and accuracy for low voltage distribution system grid monitoring utilizing smart meter data

    Kemal, M. S., Martin-Loeches, R. S., Olsen, R. L., Iov, F. & Schwefel, H-P. C., Jun 2020, In : International Journal of Electrical Power and Energy Systems. 121, 106090.

    Research output: Contribution to journalJournal articleResearchpeer-review

    Open Access
  • Approximation of the time alignment error for measurements in electricity grids

    Antonios, I., Schwefel, H-P. C. & Lipsky, L., 7 Nov 2019, 2019 15th European Dependable Computing Conference (EDCC). IEEE, p. 153-158 6 p. 8893429. (Proceedings of EDCC 2019).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    File
  • 14 Downloads (Pure)

    Extraction of CIM-Based Distribution Grid Topology Information for Observability

    Shahid, K., Schiavone, E., Drenjanac, D., Bæklund, R. P., Olsen, R. L. & Schwefel, H-P. C., 7 Nov 2019, 15th European Dependable Computing Conference (EDCC). IEEE, p. 165-170 6 p. 8893350. (European Dependable Computing Conference (EDCC)).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
  • 13 Downloads (Pure)

    Datasets

    Dataset for SmartGridComm2018 paper

    Schwefel, H. C. (Creator) & Antonios, I. (Contributor), VBN, 4 May 2020

    Dataset

    File

    Datasæt for losscalculation paper

    Schwefel, H. C. (Creator), Rasmussen, J. G. (Contributor), Olsen, R. L. (Creator) & Silva, N. (Contributor), VBN, 1 May 2020

    Dataset

    File