Artificial Neural Networks for Volt/VAR Control of DER Inverters at the Grid Edge

With increased grid penetration of distributed energy resources (DERs), volt/VAR control (VVC) is becoming increasingly complex and challenging in distribution systems. Conventional VVC approaches in distribution networks reside typically on the primary feeder. However, these approaches are ineffective for handling the voltage variability caused by DERs and load dynamics on the secondary side, termed as the grid edge. With more and more...