Multiagent-Based Cooperative Control Framework for Microgrids' Energy Imbalance

Fengji Luo, Yingying Chen, Zhao Xu, Gaoqi Liang, Yu Zheng, Jing Qiu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

39 Citations (Scopus)

Abstract

This paper proposes a cooperative control framework for the coordination of multiple microgrids. The framework is based on the multiagent system. The control framework aims to encourage the resource sharing among different autonomous microgrids and solve the energy imbalance problems by forming the microgrid coalition self-adaptively. First, the conceptual model of the integrated microgrids and the layered cooperative control framework is presented. Then, an advanced dynamic coalition formation scheme and corresponding negotiation algorithm are introduced to model the coordination behaviors of the microgrids. The proposed control framework is implemented by the Java Agent Development Framework. A loop distribution system with multiple interconnected microgrids is simulated, and the case studies are conducted to prove the efficiency of the proposed framework.
Original languageEnglish
Article number7514935
Pages (from-to)1046-1056
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume13
Issue number3
DOIs
Publication statusPublished - 1 Jun 2017

Keywords

  • Agent coalition
  • distributed control
  • microgrid
  • multiagent system
  • smart grid

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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