Fault localization, protection, and automation in distribution grids
This research area focuses on fault localization, protection, and automation in distribution grids. The emerging digitalization in distribution grids brings new possibilities for fault detection, fault handling, and automated response to fault situations. However, large-scale deployment of new localization and protection technologies requires evaluation in real and lab environments. Another challenge is the seal healing and reconfiguration of distribution grids.
First, in CINELDI, a novel concept for fault location in distribution systems was tested and evaluated in the smart grid lab. This concept was tested on a ring configuration and it was based on impedance-based protection . Second, a review of the fault responses of inverter-interfaced distributed energy resources (DER) in distribution grids was also prepared in CINELDI . Traditional protection schemes are based on over-current protection that is ineffective in alleviating fault response in DER which is largely determined by its control. A comparison between literature reporting results was presented. Third, since the grid companies and end users currently use a lot of resources to deal with earth faults in low voltage distribution, a detection and location scheme for earth faults was proposed using smart meters . Numerous tests in this work showed that AMS meters can provide useful and reliable information about earth faults. Then, two novel current-based methods were presented in . The methods are based on the utilization of sequence components of standard current and voltage measurement at a primary substation, and they do not require new devices or measurements in the field. Both methods were tested with a simulation of a network based on data provided by a Norwegian grid operator and their prediction performances were investigated considering different scenarios on fault resistance, load asymmetry and measurement errors. Finally, CINELDI has also contribute in advance algorithm for optimal placements of sensor that can be used for fault location in smart grids , where the effect of 5G was also investigated in .
Automated fault location and handling play a key role in improving the reliability of the new distribution grids. The envisioned self-healing characteristic will be reached if the ICT equipment is utilized appropriately with protection equipment. CINELDI results can give a step forward into merging ICT with fault location methods –.
 T. Haugan, ‘Hafslund Use Case - Concept for fault localisation in ring-connected networks’, CINELDI Internal (memo), 2019.
 J. I. Marvik, ‘Fault responses of inverter-interfaced DER - literature review’, SINTEF Energy Research, CINELDI Internal (memo), Mar. 2019.
 H. Taxt, ‘Test av jordfeildetektering ved hjelp av AMS’, SINTEF Energy Research, CINELDI Internal (memo), Aug. 2022.
 T. A. Zerihun, T. Treider, H. Taxt, L. Nordevall, and T. Haugan, ‘Two novel current-based methods for locating earth faults in unearthed ring operating MV network’, presented at the ESPR 2021, 2021.
 Muka, Romina; Garau, Michele; Heegaard Poul;, ‘Genetic Algorithm for Placement of IEDs for fault location in smart distribution grids’, - The 26th International Conference and Exhibition on Electricity Distribution, 2021, pp. 1639–1643, doi: doi: 10.1049/icp.2021.1640.
 R. Muka, M. Garau, B. Tola, and P. E. Heegaard, ‘Effect of 5G communication service failure on placement of Intelligent Electronic Devices in Smart Distribution Grids’, in 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Aachen, Germany, Oct. 2021, pp. 308–314. doi: 10.1109/SmartGridComm51999.2021.9632333.
- Distribution Grid Fault Location Based on Entropy Minimization
- Stochastic Petrinet model for dependability assessment and integrated power grid and ICT support
- Single line to ground-fault locations method developed and tested in simulation
- New smart grid stencils for the Microsoft Threat Modelling Tool
Smart grid development and asset management
CINELDI's Knowledge base