Adaptive Neurocontrol for Grid-Following Inverters

Research output: NRELTechnical Report


The new generation of power systems involve a large number of autonomous operating units with the flow of data being restricted by privacy concerns or infrastructure hurdles. The systems are also time-varying so the control should adjust in a timely manner to avoid failures that usually have very negative economical implications. Adaptive neurocontrol which takes elements from adaptive control (great for time-varying problems) and model identification (could be in the form of neural network) by using local available data is a compelling tool. In this work, we summarize analytical results for adaptive neurocontrol, followed with numerical verification of how the method could work for future grids.
Original languageAmerican English
Number of pages11
StatePublished - 2022

NREL Publication Number

  • NREL/TP-5D00-83921


  • adaptive control
  • grid-following inverter
  • machine learning


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