Analysis method of line loss anomaly in platform area based on clustering algorithm

Fei Wei; Ke Zheng; Yongtai Li; Gaoming Zhang; Xiaoxiao Zhang

doi:10.1117/12.2685090

19 October 2023 Analysis method of line loss anomaly in platform area based on clustering algorithm

Fei Wei, Ke Zheng, Yongtai Li, Gaoming Zhang, Xiaoxiao Zhang

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127093P (2023) https://doi.org/10.1117/12.2685090
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Station line loss is directly related to the operating efficiency of power grid enterprises. Traditional low-voltage station line loss management directly distinguishes abnormal line loss stations according to the index value, which is relatively extensive management. Based on the theory of station line loss, this paper proposes a method of station line loss anomaly analysis based on K-means clustering algorithm. Firstly, the LOF algorithm is used to eliminate the outliers in the platform area, and then the line losses in the platform area are clustered. Finally, the abnormal line loss platform area is identified by combining the value interval of the average line loss rate and the distance from the clustering center.

Citation Download Citation

Fei Wei, Ke Zheng, Yongtai Li, Gaoming Zhang, and Xiaoxiao Zhang "Analysis method of line loss anomaly in platform area based on clustering algorithm", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127093P (19 October 2023); https://doi.org/10.1117/12.2685090

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