Open AccessResearch and Analysis of Power Outage Dispatch Control System Based on Customer Zero-Blackout Awareness
Author(s) -
Guang Ouyang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/4/042065
Subject(s) - blackout , cluster analysis , perception , computer science , service quality , service (business) , fault (geology) , event (particle physics) , segmentation , control (management) , power (physics) , electric power system , data mining , reliability engineering , engineering , artificial intelligence , physics , quantum mechanics , neuroscience , seismology , geology , biology , economy , economics
The paper deeply analyzes the sensitivity of customer blackout perception andthe user perception model. The K-Means clustering algorithm is used for clustering. By analyzing and summarizing the user’s perception of the blackout event, the user is divided into perceptions. By constructing the user perception model, the user perception classification of fault events is realized for the first time, and the decision basis for personalized active services is provided. The user perception model is of great significance to the customer service business application. Based on the perception segmentation result, the user can be provided with personalized and active services. Finally, the paper proposes to establish a power outage management system with no power outage, aiming to improve the service quality of current power customers.