A Novel Retrospect-Inspired Regime for Microgrid Real-Time Energy Scheduling with Heterogeneous Sources

Youwei Jia, Xue Lyu, Peng Xie, Zhao Xu, Minghua Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

21 Citations (Scopus)


High renewables embedded microgrid is an emerging paradigm of distributed power systems, which can locally digest intermittent generation and load demand. Due to less aggregation effect, the uncertainty issues associated with renewables and load become much more evident in small-scale microgrids, which make the energy scheduling issue even more challenging to be resolved. In this field, there generally exist two obstacles to convert the scheduling approaches into practice, which are 1) overly assumed renewable forecasting accuracy and 2) lack of effective platforms for field testing. In this paper, we firstly propose a retroactive scheduling regime in handling heterogeneous schedulable sources in small-scale microgrids, of which the decision-makings can be robust to future uncertainties. To verify the effectiveness of the proposed regime, mathematical proofs are rigorously provided for its algorithmic mechanism and performance guarantee. We then contribute a platform design to facilitate power hardware-in-the-loop experiments in a generic architecture. Experimental results demonstrate the effectiveness of the proposed regime, which suggest a high potential of its practical application.

Original languageEnglish
Article number9105046
Pages (from-to)4614-4625
Number of pages12
JournalIEEE Transactions on Smart Grid
Issue number6
Publication statusPublished - Nov 2020


  • Hardware-in-the-loop
  • microgrid
  • real-time energy scheduling
  • renewable energy
  • uncertainty

ASJC Scopus subject areas

  • Computer Science(all)


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