| Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 6 | |
| Section | Energy Engineering and Power System | |
| DOI | https://doi.org/10.1051/e3sconf/202018501008 | |
| Published online | 01 September 2020 | |
Exploration on Prediction and Early Warning Technology for Investment Completion of 10 kV And Below Power Grid Infrastructure Projects
1 State Grid Zhejiang Electric Power Co., Ltd., Hangzhou,, Zhejiang, 310007, china
2 State Grid Zhejiang Economic Research Institute, Hangzhou, Zhejiang, 310008, china
3 State Grid Zhejiang Electric Power Co., Ltd. Lishui Power Supply Company, Lishui, Zhejiang, 323000, china
* Corresponding author: malei@zj.sgcc.com.cn
The external severe and complex economic situation has a great impact on the efficiency of the company’s investment implementation. The in-depth implementation of the lean investment management concept also puts forward new requirements for improving the extensive distribution network investment management mode. In addition, in recent years, the proportion of investment in distribution network projects of 10kV and below has increased, and its management mode is difficult to keep up with the new investment management requirements. Therefore, this project takes the infrastructure projects of 10kV and below as the research object, constructs the investment plan curve by studying the business rules of construction, accounting and materials, and deepens its application in the early warning of investment plan implementation based on the investment plan line, and provides an effective support tool for the investment lean management and control of distribution network.
© 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.
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