Multi-agent based distributed control architecture for microgrid energy management and optimization

M. Reyasudin Basir Khan, Razali Jidin, Jagadeesh Pasupuleti

Research output: Contribution to journalArticle

80 Citations (Scopus)

Abstract

Most energy management systems are based on a centralized controller that is difficult to satisfy criteria such as fault tolerance and adaptability. Therefore, a new multi-agent based distributed energy management system architecture is proposed in this paper. The distributed generation system is composed of several distributed energy resources and a group of loads. A multi-agent system based decentralized control architecture was developed in order to provide control for the complex energy management of the distributed generation system. Then, non-cooperative game theory was used for the multi-agent coordination in the system. The distributed generation system was assessed by simulation under renewable resource fluctuations, seasonal load demand and grid disturbances. The simulation results show that the implementation of the new energy management system proved to provide more robust and high performance controls than conventional centralized energy management systems.

Original languageEnglish
Pages (from-to)288-307
Number of pages20
JournalEnergy Conversion and Management
Volume112
DOIs
Publication statusPublished - 15 Mar 2016

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Energy management systems
Energy management
Distributed power generation
Decentralized control
Game theory
Energy resources
Fault tolerance
Multi agent systems
Loads (forces)
Controllers

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Nuclear Energy and Engineering
  • Fuel Technology
  • Energy Engineering and Power Technology

Cite this

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Multi-agent based distributed control architecture for microgrid energy management and optimization. / Basir Khan, M. Reyasudin; Jidin, Razali; Pasupuleti, Jagadeesh.

In: Energy Conversion and Management, Vol. 112, 15.03.2016, p. 288-307.

Research output: Contribution to journalArticle

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