Robust hierarchical model predictive control of graph-based power flow systems

Justin P. Koeln, Andrew G. Alleyne

Research output: Contribution to journalArticlepeer-review

Abstract

A robust hierarchical model predictive control framework is presented for controlling a linear system of dynamically coupled subsystems. A graph-based modeling framework captures the conservation laws of power flow systems, for which control optimizes the storage and routing of energy to maximize transient and steady-state power throughput. A constructive approach is presented for developing an N-level hierarchical controller, which guarantees satisfaction of state and input constraints in the presence of signal and model uncertainty.

Original languageEnglish (US)
Pages (from-to)127-133
Number of pages7
JournalAutomatica
Volume96
DOIs
StatePublished - Oct 2018

Keywords

  • Graph theory
  • Hierarchical control
  • Large scale complex systems
  • Robust model predictive control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Robust hierarchical model predictive control of graph-based power flow systems'. Together they form a unique fingerprint.

Cite this