Distributed Predictive Control Strategy for Frequency Restoration of Microgrids Considering Optimal Dispatch

F. Alex Navas, Juan S. Gomez, Jacqueline Llanos, Erwin Rute, Doris Saez, Mark Sumner

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


Microgrids are the cornerstone for a new model of electrical generation based on renewable resources. Commonly microgrids are controlled with a centralised hierarchical structure, which is inherited from power systems. However, a time-scale separation between traditional fast frequency restoration and slow economic dispatch may be counterproductive in the long run because the slow long-term economic dispatch increases the prediction uncertainty. In an effort to improve the economical operation of microgrids, this work proposes a distributed model predictive control strategy for the operation of isolated microgrids based on a consensus strategy that tackles both the economic dispatch and frequency restoration over the same time-scale. The proposed controller can operate without knowledge of the microgrid's topology: instead, typical local measurements and other information from neighboring generation units are required. Experimental results demonstrate that the controller is robust to load variations and communication issues, but the plug-and-play nature of the system is preserved.

Original languageEnglish
Article number9328905
Pages (from-to)2748-2759
Number of pages12
JournalIEEE Transactions on Smart Grid
Issue number4
Publication statusPublished - Jul 2021
Externally publishedYes


  • cooperative control
  • Distributed predictive control
  • frequency restoration
  • microgrids
  • predictive optimal dispatch

ASJC Scopus subject areas

  • General Computer Science


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