A Hierarchical Energy Management Strategy for Interconnected Microgrids Considering Uncertainty

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Abstract

Coordinating the operation of neighboring microgrids is a promising solution for the problem of growing pe-netration of renewable-based microgrids into the power system. In this paper, a hierarchical stochastic energymanagement system is proposed for operation management of interconnected microgrids. At the upper-level, acentral entity is responsible for coordinating the operation of microgrids. Based on the energy scheduling madeat this level, the power reference values to be exchanged within the microgrids network and between the mi-crogrids and the main grid are calculated and communicated with the local energy management systems. At thelower-level, a decision making approach based on chance-constrained model predictive control is adopted forlocal operation management of each microgrid taking into account different sources of uncertainties. The resultsshow that the proposed strategy provides the microgrids with the opportunity of exploiting maximum availablecapacity in the network. Consequently, the microgrids dependency on the main grid will be reduced and someimportant performance indices such as multi-microgrid system cost and real-time power deviations will beimproved
Original languageEnglish
JournalInternational Journal of Electrical Power & Energy Systems
Volume109
Pages (from-to)597-608
Number of pages12
ISSN0142-0615
DOIs
Publication statusPublished - Jul 2019

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Keywords

  • Uncertainty management
  • Monte-Carlo algorithm
  • Energy management
  • Multi-microgrid system
  • Chance-constrained model predictive control

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