Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering

A Study on Grading Early Warning Model of Distribution Network Investment Deviation

Authors
Hui Cai, Dunnan Liu, Long Zhou, Tianqi Tang
Corresponding Author
Hui Cai
Available Online November 2015.
DOI
10.2991/ism3e-15.2015.68How to use a DOI?
Abstract

The grading early warning model of distribution network investment deviation can invest in distribution network construction project and provide scientific and economic management model. In this paper, factors that caused distribution network construction investment deviation has been identified effectively, the distribution network construction investment deviation early warning index system was built through the selected technical-economic indicators; furthermore, a comprehensive analysis of investment deviation by using analytic hierarchy process was carried out, and then, started from fuzzy evaluation and grey evaluation method, a investment deviation early grading model that combined with fuzzy and grey was established. In this paper, a concrete example was given to demonstrate the smart grid investment deviation grading early warning model is practical.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-141-4
ISSN
2352-5401
DOI
10.2991/ism3e-15.2015.68How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hui Cai
AU  - Dunnan Liu
AU  - Long Zhou
AU  - Tianqi Tang
PY  - 2015/11
DA  - 2015/11
TI  - A Study on Grading Early Warning Model of Distribution Network Investment Deviation
BT  - Proceedings of the 2015 International Symposium on Material, Energy and Environment Engineering
PB  - Atlantis Press
SP  - 273
EP  - 276
SN  - 2352-5401
UR  - https://doi.org/10.2991/ism3e-15.2015.68
DO  - 10.2991/ism3e-15.2015.68
ID  - Cai2015/11
ER  -