Nonlinear Economic Model Predictive Control for Microgrid Dispatch

Michael Zachar, Prodromos Daoutidis

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


This paper addresses dispatch of a microgrid system using nonlinear economic model predictive control. Constraints in the model predictive control formulation are used to ensure that microgrid units stay within their desired operational range (i.e. power output, storage level, and temperature) and that the net energy exchange with the macrogrid over each hour stays within some scheduled bounds. A dynamic, continuous-time microgrid model is developed and used to test this dispatch strategy over a 24-hour period. The proposed dispatch strategy is able to satisfy the bounds on energy exchange and desired temperature.

Original languageEnglish (US)
Pages (from-to)778-783
Number of pages6
Issue number18
StatePublished - 2016

Bibliographical note

Publisher Copyright:
© 2016


  • Computer-aided control system design
  • Electric power systems
  • Model based control
  • Predictive Control
  • Renewable energy systems


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