Distributed state estimation for multi-agent based active distribution networks

H.P. Nguyen; W.L. Kling

doi:10.1109/PES.2010.5590226

Distributed state estimation for multi-agent based active distribution networks

H.P. Nguyen, W.L. Kling

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

250 Downloads (Pure)

Abstract

Along with the large-scale implementation of distributed generators, the current distribution networks have changed gradually from passive to active operation. State estimation plays a vital role to facilitate this transition. In this paper, a suitable state estimation method for the active network design is proposed. The method takes advantages of the multi-agent system technology to compute iteratively local state variables by neighbors' data measurements. The accuracy and complexity of the proposed estimation are investigated through on-line simulation with a 5-bus test network.

Original language	English
Title of host publication	Proceedings of the IEEE Power Engineering Society General Meeting, 25-27 July 2010, Minneapolis, Minnesota USA
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	10-1/7
ISBN (Print)	978-1-4244-6549-1
DOIs	https://doi.org/10.1109/PES.2010.5590226
Publication status	Published - 2010
Event	2010 IEEE Power and Energy Society General Meeting (PESGM 2010) - Minneapolis, United States Duration: 25 Jul 2010 → 29 Jul 2010

Conference

Conference	2010 IEEE Power and Energy Society General Meeting (PESGM 2010)
Abbreviated title	PESGM 2010
Country	United States
City	Minneapolis
Period	25/07/10 → 29/07/10

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10.1109/PES.2010.5590226

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Cite this

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title = "Distributed state estimation for multi-agent based active distribution networks",

abstract = "Along with the large-scale implementation of distributed generators, the current distribution networks have changed gradually from passive to active operation. State estimation plays a vital role to facilitate this transition. In this paper, a suitable state estimation method for the active network design is proposed. The method takes advantages of the multi-agent system technology to compute iteratively local state variables by neighbors' data measurements. The accuracy and complexity of the proposed estimation are investigated through on-line simulation with a 5-bus test network.",

author = "H.P. Nguyen and W.L. Kling",

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address = "United States",

note = "2010 IEEE Power and Energy Society General Meeting (PESGM 2010), PESGM 2010 ; Conference date: 25-07-2010 Through 29-07-2010",

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Nguyen, HP & Kling, WL 2010, Distributed state estimation for multi-agent based active distribution networks. in Proceedings of the IEEE Power Engineering Society General Meeting, 25-27 July 2010, Minneapolis, Minnesota USA. Institute of Electrical and Electronics Engineers, Piscataway, pp. 10-1/7, 2010 IEEE Power and Energy Society General Meeting (PESGM 2010), Minneapolis, United States, 25/07/10. https://doi.org/10.1109/PES.2010.5590226

Distributed state estimation for multi-agent based active distribution networks. / Nguyen, H.P.; Kling, W.L.

Proceedings of the IEEE Power Engineering Society General Meeting, 25-27 July 2010, Minneapolis, Minnesota USA. Piscataway : Institute of Electrical and Electronics Engineers, 2010. p. 10-1/7.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Kling, W.L.

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AB - Along with the large-scale implementation of distributed generators, the current distribution networks have changed gradually from passive to active operation. State estimation plays a vital role to facilitate this transition. In this paper, a suitable state estimation method for the active network design is proposed. The method takes advantages of the multi-agent system technology to compute iteratively local state variables by neighbors' data measurements. The accuracy and complexity of the proposed estimation are investigated through on-line simulation with a 5-bus test network.

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DO - 10.1109/PES.2010.5590226

M3 - Conference contribution

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BT - Proceedings of the IEEE Power Engineering Society General Meeting, 25-27 July 2010, Minneapolis, Minnesota USA

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