Published December 1, 2019 | Version v1
Journal article

Research and Analysis of Power Outage Dispatch Control System Based on Customer Zero-Blackout Awareness

Creators

  • 1. Beijing T&D Power Research Co., Ltd, Beijing 102206 (China)

Description

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. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/677/4/042065

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
677
Journal Issue
4
Journal Page Range
[7 p.]
ISSN
1757-899X

Conference

Title
4. International Conference on Insulating Materials, Material Application and Electrical Engineering
Dates
12-13 Oct 2019
Place
Melbourne (Australia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54077727
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; CLASSIFICATION; CONTROL SYSTEMS; ENERGY MANAGEMENT; OUTAGES; SENSITIVITY
Descriptors DEC
MANAGEMENT; MATHEMATICAL LOGIC