Distributed multi-agent scheme to improve dynamic voltage stability of distribution networks

Rahman, M. S., Mahmud, M. A., Pota, H. R., Hossain, M. J. and Oo, Amanullah M. T. 2015, Distributed multi-agent scheme to improve dynamic voltage stability of distribution networks, in 2015 IEEE Power and Energy Society General Meeting, IEEE, Piscataway, N.J., pp. 1-5, doi: 10.1109/PESGM.2015.7286319.

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Title Distributed multi-agent scheme to improve dynamic voltage stability of distribution networks
Author(s) Rahman, M. S.ORCID iD for Rahman, M. S. orcid.org/0000-0001-6665-5059
Mahmud, M. A.ORCID iD for Mahmud, M. A. orcid.org/0000-0002-5302-5338
Pota, H. R.
Hossain, M. J.
Oo, Amanullah M. T.ORCID iD for Oo, Amanullah M. T. orcid.org/0000-0002-6914-2272
Conference name IEEE PES General Meeting (2015: Denver, Colo.)
Conference location Denver, Colo.
Conference dates 26-30 Jul. 2015
Title of proceedings 2015 IEEE Power and Energy Society General Meeting
Publication date 2015
Start page 1
End page 5
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) dynamic voltage stability
distribution network
multi-agent system
renewable energy
Summary In this paper, a distributed multi-agent scheme is presented for reactive power management with renewable energy sources (RESs). The multi-agent system (MAS) framework is developed for distribution systems to improve the stability which is mostly dominated by voltage and the agents in this framework coordinate among themselves using online information and energy flow. In this paper, the agents basically perform two tasks- reactive power estimation and necessary control actions. The topology of distribution network is used to estimate the required reactive power for maintaining voltage stability where distributed static synchronous compensators (DSTATCOMs) are used to supply this reactive power. The DSTATCOM is controlled by using a linear quadratic regulator (LQR) controller within the agent framework. The proposed scheme is further compared with the conventional approach to validate the simulation results.
ISBN 9781467380409
ISSN 1944-9925
Language eng
DOI 10.1109/PESGM.2015.7286319
Field of Research 090607 Power and Energy Systems Engineering (excl Renewable Power)
080503 Networking and Communications
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082863

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