A heuristic best-fit clustering approach for remote metering smart grid networks

H. Miao; Z. Y. Dong; G. Chen

doi:10.1049/ic.2015.0226

A heuristic best-fit clustering approach for remote metering smart grid networks

H. Miao
, Z. Y. Dong
, G. Chen

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Smart grid is a term referring to the next generation power grid in which the electricity distribution and management is upgraded by incorporating advanced two-way communications and pervasive computing capabilities for improved control, efficiency, reliability and safety. The paper proposes a heuristic best-fit clustering approach to obtain the minimum number and location of powerful nodes to fulfill the connectivity requirement of a given smart meters network. The contribution of the work includes the implementing of the novel heuristic best-fit clustering approach to obtain the optimal solution (the least number and location of the local data centres need to be built) for a smart meter network which has arbitrary number of smart meters with arbitrary transmission range in each smart meter. The simulation results demonstrate that the approach could efficiently obtain the optimal result, the connectivity of the smart meter network could be fulfilled with minimum number of the powerful nodes.

Original language	English
Title of host publication	IET Seminar Digest
Publisher	Institution of Engineering and Technology
Volume	2015
ISBN (Print)	9781785610103, 9781785610523, 9781785610806, 9781785610820, 9781785610943, 9781785611063, 9781785611094, 9781785611148, 9781785611155, 9781785611162, 9781785611179, 9781785611186, 9781785611285, 9781785611315, 9781785611582, 9781785611902, 9781785612190, 9781785612237, 9781849199827, 9781849199841
DOIs	https://doi.org/10.1049/ic.2015.0226
Publication status	Published - 2015
Externally published	Yes
Event	10th International Conference on Advances in Power System Control, Operation and Management, APSCOM 2015 - Hong Kong, China Duration: 8 Nov 2015 → 12 Nov 2015 http://digitallibrary.theiet.org/content/conferences/2015/0008

Conference

Conference	10th International Conference on Advances in Power System Control, Operation and Management, APSCOM 2015
Place	China
City	Hong Kong
Period	8/11/15 → 12/11/15
Internet address	http://digitallibrary.theiet.org/content/conferences/2015/0008

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Research Keywords

Clustering
Heuristic
Smart grid
Smart meter

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10.1049/ic.2015.0226

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Cite this

@inproceedings{128ba6d87b694e5986d0aee99c51f1ea,

title = "A heuristic best-fit clustering approach for remote metering smart grid networks",

abstract = "Smart grid is a term referring to the next generation power grid in which the electricity distribution and management is upgraded by incorporating advanced two-way communications and pervasive computing capabilities for improved control, efficiency, reliability and safety. The paper proposes a heuristic best-fit clustering approach to obtain the minimum number and location of powerful nodes to fulfill the connectivity requirement of a given smart meters network. The contribution of the work includes the implementing of the novel heuristic best-fit clustering approach to obtain the optimal solution (the least number and location of the local data centres need to be built) for a smart meter network which has arbitrary number of smart meters with arbitrary transmission range in each smart meter. The simulation results demonstrate that the approach could efficiently obtain the optimal result, the connectivity of the smart meter network could be fulfilled with minimum number of the powerful nodes.",

keywords = "Clustering, Heuristic, Smart grid, Smart meter",

author = "H. Miao and Dong, \{Z. Y.\} and G. Chen",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 10th International Conference on Advances in Power System Control, Operation and Management, APSCOM 2015 ; Conference date: 08-11-2015 Through 12-11-2015",

year = "2015",

doi = "10.1049/ic.2015.0226",

language = "English",

isbn = "9781785610103",

volume = "2015",

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TY - GEN

T1 - A heuristic best-fit clustering approach for remote metering smart grid networks

AU - Miao, H.

AU - Dong, Z. Y.

AU - Chen, G.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2015

Y1 - 2015

N2 - Smart grid is a term referring to the next generation power grid in which the electricity distribution and management is upgraded by incorporating advanced two-way communications and pervasive computing capabilities for improved control, efficiency, reliability and safety. The paper proposes a heuristic best-fit clustering approach to obtain the minimum number and location of powerful nodes to fulfill the connectivity requirement of a given smart meters network. The contribution of the work includes the implementing of the novel heuristic best-fit clustering approach to obtain the optimal solution (the least number and location of the local data centres need to be built) for a smart meter network which has arbitrary number of smart meters with arbitrary transmission range in each smart meter. The simulation results demonstrate that the approach could efficiently obtain the optimal result, the connectivity of the smart meter network could be fulfilled with minimum number of the powerful nodes.

AB - Smart grid is a term referring to the next generation power grid in which the electricity distribution and management is upgraded by incorporating advanced two-way communications and pervasive computing capabilities for improved control, efficiency, reliability and safety. The paper proposes a heuristic best-fit clustering approach to obtain the minimum number and location of powerful nodes to fulfill the connectivity requirement of a given smart meters network. The contribution of the work includes the implementing of the novel heuristic best-fit clustering approach to obtain the optimal solution (the least number and location of the local data centres need to be built) for a smart meter network which has arbitrary number of smart meters with arbitrary transmission range in each smart meter. The simulation results demonstrate that the approach could efficiently obtain the optimal result, the connectivity of the smart meter network could be fulfilled with minimum number of the powerful nodes.

KW - Clustering

KW - Heuristic

KW - Smart grid

KW - Smart meter

UR - https://www.scopus.com/pages/publications/84997402851

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84997402851&origin=recordpage

U2 - 10.1049/ic.2015.0226

DO - 10.1049/ic.2015.0226

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781785610103

SN - 9781785610523

SN - 9781785610806

SN - 9781785610820

SN - 9781785610943

SN - 9781785611063

SN - 9781785611094

SN - 9781785611148

SN - 9781785611155

SN - 9781785611162

SN - 9781785611179

SN - 9781785611186

SN - 9781785611285

SN - 9781785611315

SN - 9781785611582

SN - 9781785611902

SN - 9781785612190

SN - 9781785612237

SN - 9781849199827

SN - 9781849199841

VL - 2015

BT - IET Seminar Digest

PB - Institution of Engineering and Technology

T2 - 10th International Conference on Advances in Power System Control, Operation and Management, APSCOM 2015

Y2 - 8 November 2015 through 12 November 2015

ER -

A heuristic best-fit clustering approach for remote metering smart grid networks

Abstract

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

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