%0 Conference Paper
%A Michael D Sankur
%A Maxime Baudette
%A Jason S MacDonald
%A Daniel Arnold
%A Tung Bui
%B Hawaii International Conference on System SciencesProceedings of the 53rd Hawaii International Conference on System Sciences
%D 2020
%G eng
%I Hawaii International Conference on System Sciences
%R 10.24251/hicss.2020.372
%T Batch Measurement Extremum Seeking Control of Distributed Energy Resources to Account for Communication Delays and Information Loss
%8 01/2020
%X <p><span>Distributed Energy Resources (DER) have great&nbsp;</span><span>potential to enhance the operation of electric power&nbsp;</span><span>distribution systems.&nbsp;</span><span>Previously, we explored the&nbsp;</span><span>use of 2 Dimensional Extremum Seeking (2D-ES)&nbsp;</span><span>control algorithms to enable model-free optimal&nbsp;</span><span>control of DER to provide grid services to both the&nbsp;</span><span>distribution and transmissions systems.&nbsp;</span><span>Motivated&nbsp;</span><span>by preliminary deployments of DER managed by&nbsp;</span><span>2D-ES algorithms in hardware-in-the-loop tests and&nbsp;</span><span>in operational distribution grids,&nbsp;</span><span>in this work,&nbsp;</span><span>we extend the control scheme to accommodate&nbsp;</span><span>communication delays and information loss.</span><span>We&nbsp;</span><span>propose a modification to the 2D-ES scheme to allow&nbsp;</span><span>for the processing of batches of possibly noncontiguous&nbsp;</span><span>objective function measurements at unknown and&nbsp;</span><span>possibly uneven intervals. We provide a proof of the&nbsp;</span><span>convergence of the batch 2D-ES (2D-BES) scheme when&nbsp;</span><span>optimizing a generic convex objective function, as well&nbsp;</span><span>as simulation results that demonstrate the suitability of&nbsp;</span><span>the approach for substation active and reactive power&nbsp;</span><span>target tracking.</span></p>