• Admin Login
    View Item 
    •   CIRED Repository Home
    • CIRED Proceedings
    • CIRED 2019 Conference
    • View Item
    •   CIRED Repository Home
    • CIRED Proceedings
    • CIRED 2019 Conference
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Determination the Switching State of Compensatory Equipment Based on Monitor Data Analysis

    Thumbnail
    View/Open
    CIRED 2019 - 713.pdf (595.6Kb)
    Paper number
    713
    Conference name
    CIRED 2019
    Conference date
    3-6 June 2019
    Conference location
    Madrid, Spain
    Peer-reviewed
    Yes
    Metadata
    Show full item record
    Authors
    Wang, Ying, College of Electrical Engineering and Information Technology- Sichuan University, China
    Deng, Ling-Feng, Sichuan University, China
    Xiao, Xianyong, College of Electrical Engineering and Information Technology Sichuan University, China
    Hu, Chong, Anhui Electric Power Research Institute, China
    Wang, Xin, CEIEC Shenzhen Electric Technology Inc, China
    Abstract
    The power supply companies have codes to limit the power quality disturbance from the disturbance source, for example, wind park or arc furnace. To equip the power quality compensatory equipment is the straight way to limit it. However, it is difficult for power supply company to manage the power quality compensatory equipment on the user side. This paper presents an algorithm, based on power quality monitoring data on the grid side, to determine the operation status of the compensatory equipment on the user side for power grid companies. In this paper, the probabilistic neural network is used to classify the operation status of the compensatory equipment, by taking the voltage deviation, three-phase voltage unbalance, total harmonic distortion rate and long-term voltage flicker as the input data of the network, so as to realize the determination of the operation status of the compensatory equipment. The correctness and reliability of the proposed method is verified by the recorded power quality data from a substation in Anhui Power Grid in China.
    Publisher
    AIM
    Date
    2019-06-03
    Published in
    • CIRED 2019 Conference
    Permanent link to this record
    https://cired-repository.org/handle/20.500.12455/126
    http://dx.doi.org/10.34890/254
    ISSN
    2032-9644
    ISBN
    978-2-9602415-0-1

    Browse

    All of CIRED RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Admin LoginRegister

    DSpace software copyright © 2002-2022  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV