A retroactive approach to microgrid real-time scheduling in quest of perfect dispatch solution

Youwei Jia, Xue Lyu, Chun Sing Lai, Zhao Xu, Minghua Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

As an emerging paradigm in distributed power systems, microgrids provide promising solutions to local renewable energy generation and load demand satisfaction. However, the intermittency of renewables and temporal uncertainty in electrical load create great challenges to energy scheduling, especially for small-scale microgrids. Instead of deploying stochastic models to cope with such challenges, this paper presents a retroactive approach to real-time energy scheduling, which is prediction-independent and computationally efficient. Extensive case studies were conducted using 3-year-long real-life system data, and the results of simulations show that the cost difference between the proposed retroactive approach and perfect dispatch is less than 11% on average, which suggests better performance than model predictive control with the cost difference at 30% compared to the perfect dispatch.

Original languageEnglish
Pages (from-to)1608-1618
Number of pages11
JournalJournal of Modern Power Systems and Clean Energy
Volume7
Issue number6
DOIs
Publication statusPublished - 1 Nov 2019

Keywords

  • Grid integration
  • Microgrid
  • Perfect dispatch
  • Real-time scheduling
  • Renewables

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

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