Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Research on Evaluation of Power Grid Investment Capability Based on TOPSIS Method

Authors
Shuyu Dai, Yaru Han, Dongxiao Niu
Corresponding Author
Shuyu Dai
Available Online December 2017.
DOI
https://doi.org/10.2991/mcei-17.2017.169How to use a DOI?
Keywords
TOPSIS method; Power grid investment capacity; Evaluation index system; Comprehensive evaluation
Abstract
With the rapid development of China's national economy and the continuous improvement of people's living standards, the demand for electricity is increasing day by day; the investment scale of the power grid is also increasing. In order to evaluate the investment capacity of power grid scientifically , this paper constructs the evaluation index system of grid investment ability from five aspects: grid operating efficiency, grid operation efficiency, grid safety, coordination of power grid development and social environmental benefits, and constructs the TOPSIS comprehensive evaluation model on the basis of the weighted the order relation method. Finally, this paper uses examples to make an empirical analysis on the comprehensive evaluation of the investment capacity of the grid, and explores the reasons for the poor investment capacity of the power grid in individual year and puts forward relevant suggestions.
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Proceedings
2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Part of series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-17.2017.169How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shuyu Dai
AU  - Yaru Han
AU  - Dongxiao Niu
PY  - 2017/12
DA  - 2017/12
TI  - Research on Evaluation of Power Grid Investment Capability Based on TOPSIS Method
BT  - 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.169
DO  - https://doi.org/10.2991/mcei-17.2017.169
ID  - Dai2017/12
ER  -