@inproceedings{34322,
  author = {Michael D Sankur and Maxime Baudette and Jason S MacDonald and Daniel Arnold and Tung Bui},
  title = {Batch Measurement Extremum Seeking Control of Distributed Energy Resources to Account for Communication Delays and Information Loss},
  abstract = {<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>},
  year = {2020},
  booktitle = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
  journal = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
  series = {Proceedings of the 53rd Hawaii International Conference on System Sciences},
  month = {01/2020},
  institution = {Hawaii International Conference on System Sciences},
  publisher = {Hawaii International Conference on System Sciences},
  doi = {10.24251/hicss.2020.372},
  language = {eng},
}