New metrics for assessing the performance of multi-microgrid systems in stand-alone mode

Shouxiang Wang, Xingyou Zhang, Lei Wu, Shumin Sun

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

This paper proposes a set of new metrics for quantitatively assessing the performance of multi-microgrid systems which are operated in stand-alone mode. These metrics include generation penetration indices for indicating the configuration of distributed generations and loads, power exchange indices for representing energy interaction among microgrids and with the main grid, as well as reliability and economic indices for quantifying the reliable and economic operation of muti-microgrid systems. A multi-step performance assessment method for multi-microgrid systems is proposed, which considers different reliability requirements and economic characters of critical and non-critical loads as well as the energy exchange among microgrids and with the main grid for effectively calculating the proposed metrics. Case studies with practical data show the effectiveness of the proposed metrics and multi-step performance assessment method for assessing the performance of multi-microgrid systems.

Original languageEnglish
Pages (from-to)382-388
Number of pages7
JournalInternational Journal of Electrical Power and Energy Systems
Volume98
DOIs
StatePublished - Jun 2018

Keywords

  • Multi-microgrid system
  • Performance assessment
  • Stand-alone mode

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