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A decentralised multi-agent approach to enhance the stability of smart microgrids with renewable energy

Rahman, M. S., Pota, H. R., Mahmud, M. A. and Hossain, M. J. 2016, A decentralised multi-agent approach to enhance the stability of smart microgrids with renewable energy, International journal of sustainable energy, vol. 35, no. 5, pp. 429-442, doi: 10.1080/14786451.2014.911741.

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Title A decentralised multi-agent approach to enhance the stability of smart microgrids with renewable energy
Author(s) Rahman, M. S.
Pota, H. R.
Mahmud, M. A.ORCID iD for Mahmud, M. A. orcid.org/0000-0002-5302-5338
Hossain, M. J.
Journal name International journal of sustainable energy
Volume number 35
Issue number 5
Start page 429
End page 442
Total pages 46
Publisher Taylor & Francis
Place of publication London, Eng.
Publication date 2016
ISSN 1478-6451
Summary This paper presents the impact of large penetration of wind power on the transient stability through a dynamic evaluation of the critical clearing times (CCTs) by using intelligent agent-based approach. A decentralised multi-agent-based framework is developed, where agents represent a number of physical device models to form a complex infrastructure for computation and communication. They enable the dynamic flow of information and energy for the interaction between the physical processes and their activities. These agents dynamically adapt online measurements and use the CCT information for relay coordination to improve the transient stability of power systems. Simulations are carried out on a smart microgrid system for faults at increasing wind power penetration levels and the improvement in transient stability using the proposed agent-based framework is demonstrated.
Language eng
DOI 10.1080/14786451.2014.911741
Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Taylor & Francis
Persistent URL http://hdl.handle.net/10536/DRO/DU:30076935

Document type: Journal Article
Collection: School of Engineering
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