Dynamic real-time optimization and control of a hybrid energy system

Milana Trifkovic, W. Alex Marvin, Prodromos Daoutidis, Mehdi Sheikhzadeh

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

A proactive energy management strategy for a stand-alone hybrid renewable energy system is presented. The study was motivated by the system built in Lambton College (Sarnia, Ontario, Canada) which includes photovoltaic arrays, wind turbine, battery, electrolyzers, hydrogen storage tanks, and fuel cells. The control architecture consists of two levels of hierarchy: (1) optimal predictive scheduling at the supervisory level and (2) local controllers for each of the system units. A "day-ahead" approach is followed at the supervisory level and a bidirectional communication between the supervisory, proactive control, and the low-level control layer is established. The proposed energy management strategy accounts for external (i.e., weather and demand) and internal disturbances. The efficacy of the proposed strategy is demonstrated through case studies.

Original languageEnglish (US)
Pages (from-to)2546-2556
Number of pages11
JournalAIChE Journal
Volume60
Issue number7
DOIs
StatePublished - Jul 2014

Keywords

  • Energy
  • Optimization
  • Process control

Fingerprint Dive into the research topics of 'Dynamic real-time optimization and control of a hybrid energy system'. Together they form a unique fingerprint.

Cite this