Primary Support - Power System Stabilization with Distributed Energy Resources

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19 Mars 2018

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Fields

Engineering

Sectors

Energy & Electricals

Power System Stabilization with Distributed Energy Resources

CONTEXT

Due to Distributed Renewable Energy Sources (DRES), Power Flows are becoming bidirectional and lowering the inertia, increasing the frequency deviations and reducing the self healing reaction efficiency of our modern Power Systems. This high frequency deviation within power system gets a serious problem for todays network operation.

TECHNOLOGY

The purpose aims at stabilizing the frequency of the network by controlling the active power of distributed loads / sources with frequency deviation.  

This is realized with 5 steps :

  1. Periodically measure the value of the load shedding potential (small/diffuse load) or the production of renewable energy for a dispatch down (source)
  2. Prioritize and sort within the frequency range for each site the estimated load shedding power in the next 15 minutes (taking into account the instantaneous load shedding power and the history of consumption of the site, or the production of renewable energy).
  3. Send to each site it’s own frequency threshold
  4. For a load, if the grid frequency drops below the threshold, selected loads are disconnected.
  5. For a source, if the network frequency reaches the threshold, it reduces the injection on the network.

FUNCTIONS

  • Automatic and secure selection of Frequency Containment Reserve (FCR).
  • Automatic and secure selection of pre-Under Frequency Load Shedding (UFLS).
  • Targeted DER and DRES: electric heating, hot water tank, electric vehicle, distributed storage and renewable sources.

APPLICATION

  • FCR and possible pre Under-Frequency Load Shedding (UFLS)

MATURITY

The technology (hard and software) has been validated within the EU projct DREAM. Successful testing was realised at the ICCS Lab in Athens, the airport in Milan and the showroom at Schneider Electric. Further tests in the lab on real netword simulations have been carried out. Data was managed with a cloud based plateforme in Lille.

INTELLECTUAL PROPERTY

1 patent delivered : FR13/62664, PCT/US
1 software protected
License available

PARTENARIATS

We are looking for an industrial partner to further deploy the technology.

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