Robust energy management of isolated microgrids

Jose Daniel Lara, Daniel E. Olivares, Claudio A. Cañizares

Research output: Contribution to journalArticlepeer-review

64 Scopus citations


This paper presents the mathematical formulation and architecture of a robust energy management system for isolated microgrids featuring renewable energy, energy storage, and interruptible loads. The proposed strategy addresses the challenges of renewable energy variability and forecast uncertainty using a two-stage decision process combined with a receding horizon approach. The first-stage decision variables are determined using a cutting-plane algorithm to solve a robust unit commitment; the second stage solves the final dispatch commands using a three-phase optimal power flow. This novel approach is tested on a modified International Council on Large Electric Systems(CIGRE) test system under different conditions. The proposed algorithm is able to produce reliable dispatch commands without considering probabilistic information from the forecasting system. These results are compared with deterministic and stochastic formulations. The benefits of the proposed control are demonstrated by a reduction in load interruption events and by increasing available reserves without an increase in overall costs.

Original languageEnglish
Article number8355863
Pages (from-to)680-691
Number of pages12
JournalIEEE Systems Journal
Issue number1
StatePublished - Mar 2019
Externally publishedYes


  • Energy management system (EMS)
  • Microgrid
  • Optimal dispatch
  • Optimal power flow (OPF)
  • Robust optimization (RO)
  • Uncertainties


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