| Issue |
E3S Web Conf.
Volume 118, 2019
2019 4th International Conference on Advances in Energy and Environment Research (ICAEER 2019)
|
|
|---|---|---|
| Article Number | 01035 | |
| Number of page(s) | 4 | |
| Section | Energy Engineering, Materials and Technology | |
| DOI | https://doi.org/10.1051/e3sconf/201911801035 | |
| Published online | 04 October 2019 | |
Analysis of Load Characteristics of Typical Large Industrial Users in Hunan Province Based on K-means Clustering
1
Economic and Technology Research Institute, State Grid Hunan Electric Power Company Limited, Changsha, 410004, China
2
State Grid Hunan Electric Power Company Limited, Changsha, 410000, China
3
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
4
Changsha Planning Design and Research Institute of Exploration and Surveying, Changsha, 410007, China
* Corresponding author: 1090962561@qq.com
The analysis of load characteristics of large industrial users is the basis for understanding the way of using electricity and analyzing its electricity consumption behavior. The power load of 13 typical large industrial users in Hunan Province was selected, and based on K-means clustering method and distance equalization function, the optimal number of clusters for large industrial users was determined, and the user classification was finally realized to analyze the load characteristics of each type of users. The results show that the load characteristics of each type of users have a certain degree of difference, and the trend of power consumption trends is different, but the daily average load curve fluctuations of each type of users are basically the same, which are consistent with the law of electricity consumption.
© 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.
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