| Issue |
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|
|
|---|---|---|
| Article Number | 01045 | |
| Number of page(s) | 6 | |
| Section | Research on Energy Technology Application and Consumption Structure | |
| DOI | https://doi.org/10.1051/e3sconf/202021801045 | |
| Published online | 11 December 2020 | |
Research on the Evaluation Model of Investment Benefits of Major Power Transmission and Transformation Projects Based on BWM and TOPSIS Methods
China State Grid Energy Research Institute Co., Ltd, Beijing 102209, China;
Transmission and transformation project is the foundation of power grid construction, the development of large-scale transmission projects can not only realize the optimal allocation of resources, but also improve the overall efficiency of power transmission. This paper takes the investment benefit of major power transmission and transformation project as the research object, and explores its complete evaluation system in depth. According to the characteristics of various types of projects, an evaluation indicator system has been built to meet all kinds of major power transmission and transformation projects. Considering the differences in the focus of evaluation indicators of different projects, the paper puts forward an indicator evaluation idea based on BWM method (Best-Worst Method) and TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution Method), so as to establish an investment benefit evaluation model applicable to various power transmission and transformation projects. Finally, the paper verifies the above investment benefit evaluation model through the actual engineering project, and the evaluation process and results show the practicality and superiority of the model.
© The Authors, published by EDP Sciences, 2020
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.