An analysis of power grid alarm data with clustering algorithms and the associated processing model

Shengping Su; Yunxiang Wang; Guanghui Wang; Hailong Li

doi:10.1117/12.3004340

25 September 2023 An analysis of power grid alarm data with clustering algorithms and the associated processing model

Shengping Su, Yunxiang Wang, Guanghui Wang, Hailong Li

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 1278852 (2023) https://doi.org/10.1117/12.3004340
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Alarm data of power grids can be classified into various groups according to different criteria, therefore making it extremely hard to be understood. A clustering algorithm based on timestamps and processed keywords is proposed to solve these problems. First, the K-Means algorithm is conducted to cluster the latest occurrence time. The original data set is divided into multiple groups. Secondly, the secondary K-Means clustering is also performed based on the start time of the alarm data for further corrections. Next, we extract the keywords features, and then vectorize them. Then we apply the density-based spatial clustering of applications with noise (DBSCAN) algorithm for distinguishing these keyword features. Finally, results with both the K-Means and the DBSCAN methods are integrated and presented, and their descriptions on correlation are provided. Moreover, classifications of the alarm events in the original data are also specified. The experimental results show that the proposed model can achieve an average compression rate of 23.62% and an average accuracy rate of 93.41%. Consequently, the proposed model can effectively improve the ability to visualize the data and reduce the complexity of alarm data.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shengping Su, Yunxiang Wang, Guanghui Wang, and Hailong Li "An analysis of power grid alarm data with clustering algorithms and the associated processing model", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 1278852 (25 September 2023); https://doi.org/10.1117/12.3004340

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available