Optimal Design of Volt/VAR Control Rules of Inverters using Deep Learning

arXiv:2211.09557v2 Announce Type: replace-cross
Abstract: Distribution grids are challenged by rapid voltage fluctuations induced by variable power injections from distributed energy resources (DERs). To regulate voltage, the IEEE Standard 1547 recommends each DER inject reactive power according to piecewise-affine Volt/VAR control rules. Although the standard suggests a default shape, the rule can be customized per bus. This task of optimal rule design (ORD) is challenging as Volt/VAR rules introduce nonlinear dynamics, and lurk trade-offs between stability and steady-state voltage profiles. …

abstract arxiv control deep learning design distributed distribution energy ieee math.oc power resources rules standard stat.ml type