A framework for self-healing smart grid with incorporation of multi-agents

Shiwei Xia, Xiao Luo, Ka Wing Chan

Research output: Journal article publicationConference articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

A hierarchical framework incorporated with multi-agents is proposed for enabling the self-healing of smart grid. While the central control agent in the upper layer adopts the multiple-step Taylor series function (MTSF) method to efficiently predict the system stability using wide area measurement system (WAMS) data, agents with shared information in the lower layer protect the devices in plug-in micro grids more effectively and adaptively compared with traditional protection. The proposed framework shows the self-healing capability for ensuring the security of smart grid by reliably preventing faults and flexibly coordinating generations. Simulation results of modified WSCC 3-generator system with plug-in micro grids have confirmed the validity of the proposed framework.
Original languageEnglish
Pages (from-to)2123-2126
Number of pages4
JournalEnergy Procedia
Volume61
DOIs
Publication statusPublished - 1 Jan 2014
Event6th International Conference on Applied Energy, ICAE 2014 - National Taiwan University of Science and Technology, Taipei, Taiwan
Duration: 30 May 20142 Jun 2014

Keywords

  • Multi-Agents
  • Multiple-step Taylor Series Function
  • Self-healing
  • Smart Grid

ASJC Scopus subject areas

  • Energy(all)

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