E3S Web Conf.
Volume 118, 20192019 4th International Conference on Advances in Energy and Environment Research (ICAEER 2019)
|Number of page(s)||4|
|Section||Energy Engineering, Materials and Technology|
|Published online||04 October 2019|
Research on performance evaluation method of effective assets of power grid based on value engineering
State Power Economic Research Institute China State Grid Jibei Electric Power Company Limited, Beijing 102209, China
2 School of Economics and Management, North China Electric Power University, Beijing, 102206, China
3 Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing, 102206, China
* Corresponding author: firstname.lastname@example.org
The effective asset of power grid is an important basis for the development of power grid enterprises and government regulation. Based on the value and functional characteristics of power grid assets, this paper establishes an evaluation index system for effective asset function of power grids. The analytic hierarchy process and entropy weight method are used to calculate the subjective and objective weights of each functional index, and the subjective and objective weights are combined by the method of squared deviation. The combined weights of the indicators are combined with the value engineering evaluation model to calculate the effective asset value coefficient, which is taken as the effective asset performance value. Finally, the relevant data of a provincial power grid enterprise for 2014-2018 is used. The established model is validated and the calculation results show that the established optimal model is feasible.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.