Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model

Na-na Li; Hui-ru Zhao

doi:doi:10.11648/j.ijepe.s.2014030601.13

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Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model

Na-na Li, Hui-ru Zhao

Published in International Journal of Energy and Power Engineering (Volume 3, Issue 6-1)

Received: 19 August 2014 Accepted: 22 August 2014 Published: 20 October 2014

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Abstract

In order to estimate and evaluate the blackout consequence in distribution network, a comprehensive evaluation index system including seven indexes was built, in which the blackouts loss for both users and power companies are fully considered. A comprehensive evaluation model based on AHP and improved grey clustering decision model was provided to evaluate the blackout consequence of different fault objects in distribution network. The improved GCDM model which can overcome the limitations of traditional whiten function, clustered different evaluation indexes and improved utilization of information and evaluation result. Finally, taking a distribution network as numerical example, AHP and improved GCDM model was implemented to evaluate and analyze the blackout consequences of different objects in distribution network. The results screen the differences in blackout consequence degree of fault objects effectively, indicating that this evaluation model is feasible and evaluation result can be referenced for power companies.

Published in	International Journal of Energy and Power Engineering (Volume 3, Issue 6-1) This article belongs to the Special Issue Energy Conservation and Management
DOI	10.11648/j.ijepe.s.2014030601.13
Page(s)	13-18
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Evaluation of Blackout Consequence, Analytic Hierarchy Process, Improved Grey Clustering Decision Model

References

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APA Style

Na-na Li, Hui-ru Zhao. (2014). Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model. International Journal of Energy and Power Engineering, 3(6-1), 13-18. https://doi.org/10.11648/j.ijepe.s.2014030601.13

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ACS Style

Na-na Li; Hui-ru Zhao. Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model. Int. J. Energy Power Eng. 2014, 3(6-1), 13-18. doi: 10.11648/j.ijepe.s.2014030601.13

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AMA Style

Na-na Li, Hui-ru Zhao. Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model. Int J Energy Power Eng. 2014;3(6-1):13-18. doi: 10.11648/j.ijepe.s.2014030601.13

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@article{10.11648/j.ijepe.s.2014030601.13,
  author = {Na-na Li and Hui-ru Zhao},
  title = {Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model},
  journal = {International Journal of Energy and Power Engineering},
  volume = {3},
  number = {6-1},
  pages = {13-18},
  doi = {10.11648/j.ijepe.s.2014030601.13},
  url = {https://doi.org/10.11648/j.ijepe.s.2014030601.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2014030601.13},
  abstract = {In order to estimate and evaluate the blackout consequence in distribution network, a comprehensive evaluation index system including seven indexes was built, in which the blackouts loss for both users and power companies are fully considered. A comprehensive evaluation model based on AHP and improved grey clustering decision model was provided to evaluate the blackout consequence of different fault objects in distribution network. The improved GCDM model which can overcome the limitations of traditional whiten function, clustered different evaluation indexes and improved utilization of information and evaluation result. Finally, taking a distribution network as numerical example, AHP and improved GCDM model was implemented to evaluate and analyze the blackout consequences of different objects in distribution network. The results screen the differences in blackout consequence degree of fault objects effectively, indicating that this evaluation model is feasible and evaluation result can be referenced for power companies.},
 year = {2014}
}

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TY  - JOUR
T1  - Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model
AU  - Na-na Li
AU  - Hui-ru Zhao
Y1  - 2014/10/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijepe.s.2014030601.13
DO  - 10.11648/j.ijepe.s.2014030601.13
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.s.2014030601.13
AB  - In order to estimate and evaluate the blackout consequence in distribution network, a comprehensive evaluation index system including seven indexes was built, in which the blackouts loss for both users and power companies are fully considered. A comprehensive evaluation model based on AHP and improved grey clustering decision model was provided to evaluate the blackout consequence of different fault objects in distribution network. The improved GCDM model which can overcome the limitations of traditional whiten function, clustered different evaluation indexes and improved utilization of information and evaluation result. Finally, taking a distribution network as numerical example, AHP and improved GCDM model was implemented to evaluate and analyze the blackout consequences of different objects in distribution network. The results screen the differences in blackout consequence degree of fault objects effectively, indicating that this evaluation model is feasible and evaluation result can be referenced for power companies.
VL  - 3
IS  - 6-1
ER  -

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Author Information

Na-na Li

School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Hui-ru Zhao

School of Economics and Management, North China Electric Power University, Beijing, 102206, China

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Plain Text BibTeX RIS

APA Style

Na-na Li, Hui-ru Zhao. (2014). Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model. International Journal of Energy and Power Engineering, 3(6-1), 13-18. https://doi.org/10.11648/j.ijepe.s.2014030601.13

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ACS Style

Na-na Li; Hui-ru Zhao. Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model. Int. J. Energy Power Eng. 2014, 3(6-1), 13-18. doi: 10.11648/j.ijepe.s.2014030601.13

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AMA Style

Na-na Li, Hui-ru Zhao. Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model. Int J Energy Power Eng. 2014;3(6-1):13-18. doi: 10.11648/j.ijepe.s.2014030601.13

Copy | Download

@article{10.11648/j.ijepe.s.2014030601.13,
  author = {Na-na Li and Hui-ru Zhao},
  title = {Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model},
  journal = {International Journal of Energy and Power Engineering},
  volume = {3},
  number = {6-1},
  pages = {13-18},
  doi = {10.11648/j.ijepe.s.2014030601.13},
  url = {https://doi.org/10.11648/j.ijepe.s.2014030601.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.s.2014030601.13},
  abstract = {In order to estimate and evaluate the blackout consequence in distribution network, a comprehensive evaluation index system including seven indexes was built, in which the blackouts loss for both users and power companies are fully considered. A comprehensive evaluation model based on AHP and improved grey clustering decision model was provided to evaluate the blackout consequence of different fault objects in distribution network. The improved GCDM model which can overcome the limitations of traditional whiten function, clustered different evaluation indexes and improved utilization of information and evaluation result. Finally, taking a distribution network as numerical example, AHP and improved GCDM model was implemented to evaluate and analyze the blackout consequences of different objects in distribution network. The results screen the differences in blackout consequence degree of fault objects effectively, indicating that this evaluation model is feasible and evaluation result can be referenced for power companies.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Evaluation on the Blackout Consequences of Different Fault Objects in Distribution Network Based on AHP and Improved GCDM Model
AU  - Na-na Li
AU  - Hui-ru Zhao
Y1  - 2014/10/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ijepe.s.2014030601.13
DO  - 10.11648/j.ijepe.s.2014030601.13
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.s.2014030601.13
AB  - In order to estimate and evaluate the blackout consequence in distribution network, a comprehensive evaluation index system including seven indexes was built, in which the blackouts loss for both users and power companies are fully considered. A comprehensive evaluation model based on AHP and improved grey clustering decision model was provided to evaluate the blackout consequence of different fault objects in distribution network. The improved GCDM model which can overcome the limitations of traditional whiten function, clustered different evaluation indexes and improved utilization of information and evaluation result. Finally, taking a distribution network as numerical example, AHP and improved GCDM model was implemented to evaluate and analyze the blackout consequences of different objects in distribution network. The results screen the differences in blackout consequence degree of fault objects effectively, indicating that this evaluation model is feasible and evaluation result can be referenced for power companies.
VL  - 3
IS  - 6-1
ER  -

Copy | Download