A Multi-Agent System Coordination Approach for Resilient Self-Healing Operations in Multiple Microgrids

Sergio Rivera, Amro Farid, Kamal Youcef-Toumi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

19 Scopus citations

Abstract

Power networks with multiple microgrids require flexibility and versatility in their coordination and decision-making tools, from both technical and economical points of view. In particular, the microgrids involve a high penetration of variable energy resources that motivate the need for new coordination and control approaches. In this chapter, some of the literature gaps with respect to the coordination of multiple microgrids are first identified. These gaps suggest that the microgrid integration challenge is not just under the control of an individual microgrid, but also is in coordination with others. The chapter then presents a novel multi-agent system coordination approach for the resilient self-healing operation of multiple microgrids. An architecture composed of physical agents is presented on a dual platform of JADE (Java Agent DEvelopment framework) and MATLAB. The resilience of multiple microgrids is then demonstrated in relation to three types of disturbed operations: (i) highly variable net load, (ii) net load ramp events, and (iii) net load changes during high load levels.

Original languageEnglish
Title of host publicationIndustrial Agents
Subtitle of host publicationEmerging Applications of Software Agents in Industry
Pages269-285
Number of pages17
ISBN (Electronic)9780128004111
DOIs
StatePublished - 12 Mar 2015

Keywords

  • Microgrids
  • Model predictive control
  • Multi-agent systems
  • Power system control
  • Renewable energy integration
  • Resilience
  • Smart grids
  • Transient stability

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