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Smart Grid Laboratory

The research team focuses on complex multidisciplinary research and development in the field of decentralized generation of electric power from renewable resources of energy, off-grid systems and their control. The team is membered with experts in power-engineering, metering and control techniques, informatics and mathematics.

The research team develops technologies for systems that support the cooperation and sharing of accumulation capacity among electric cars and stationary accumulation units to supply the grids (off-grids and mains).

The research team members provide a wide range of services in the field of diagnostics of electrical installations. The team specializes in the diagnostics of electrical machinery, both rotating and stationary, including the diagnostics of LT and HT electric grids.

Equipment:

  • Surge generator PSG 215A.
  • Megger Delta 4000.
  • C.A 6545 insulation tester.
  • Fluke 810 vibration tester.
  • Adash 4300 vibration analyzer.
  • Megger IDAX 300.
  • Fluke 438 Power quality and motor analyzer.
  • Fluke BT521.
  • B2Suite Partial discharge detector.
  • CXA Signal Analyzer N9000A.
  • ZES ZIMMER LMG670 precision power analyzer.
  • Pettersson M500-384 ultrasound microphone.
  • Motion XPro3 action camera.
  • GSH 8922 sound level meter.
  • FLIR T420 thermal imaging camera.
  • Uvirco CoroCam 6D.
  • HEAFELY surge generator.
  • Lutron EMF-839 electromagnetic field meter.
  • C.A 6472 earth tester.
  • ENA 330 and ENA 500 network analyzers.
  • M1T380 precise multimeter.
  • DJI M600 Pro drone + DJI Ronin-MX stabilizer.

Service Offer:

  • Detection of interturn short-circuits.
  • Measurements of insulation loss coefficient.
  • Measuring the state of insulation.
  • Detection of discharge in the insulation systems.
  • Battery testing/analysis.
  • Photovoltaic array diagnostics.
  • Vibration analysis.
  • High-speed camera.
  • Residential noise metering.
  • Thermal imagery.
  • Detection of surface discharge.
  • Ultrasonic measurements.
  • Current and Voltage Surge Test.
  • Electromagnetic field measurements.
  • Ground resistance measurements.
  • Network analysis (Power quality).
  • Measurements of transient phenomena.
  • Measuring tiny voltage, currents and resistance.

The research team deals with the questions of electric network reliability. Available is a database of disturbing effects and power failures in the distribution networks. It is a functional software application accessible via a web interface and contains data since 2000. The research infrastructure, models and SW applications help to model and analyze network states with regard to reliability. This shall lead to more reliable supplies of electric power and better resistance of the network in non-standard situations.

Research Focus:

  • Development of the system of monitoring, storing and evaluation of data to calculate the element reliability and general standards of electric power supply.
  • Simulation and analytical methods to solve reliability schemes.
  • Optimisation of reactive energy flows in the distribution networks.
  • Effects of electric network parameters on ripple control reliability.
  • Problems related to the connectivity of DES to the grid.

PD stands for partial discharge pattern which represents a studied phenomenon in part of our research. This post is to share the largest known available dataset online which is given by ENET Center for all purposes.

The download link is available here:

http://aeuserver.vsb.cz/pddata/data/

the data has been used in an international competition held by kaggle:

https://www.kaggle.com/…lt-detection

The data are available for free, they might be considered as an initial step for cooperation. If not please give a citation to these papers:

Misák, S., Fulnecek, J., Vantuch, T., Buriánek, T., & Jezowicz, T. (2017). A complex classification approach of partial discharges from covered conductors in real environment. IEEE Transactions on Dielectrics and Electrical Insulation, 24(2), 1097–1104.

Mišák, S., & Pokorný, V. (2014). Testing of a covered conductor’s fault detectors. IEEE Transactions on Power Delivery, 30(3), 1096–1103.

Misak, S., Hamacek, S., Bilik, P., Hofinek, M., & Petvaldsky, P. (2011). Problems associated with covered conductor fault detection. In 11th International Conference on Electrical Power Quality and Utilisation.