Research on Power Quality Feature Extraction and Traceability Based on Multi-Source Information

被引：0
|
作者：
Xiao, Fan [1 ]
Kong, Xiangyu [1 ]
Sun, Yuce [1 ]
Zheng, Lin [2 ]
Qin, Junda [2 ]
机构：
[1] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin, Peoples R China
[2] State Grid Smart Grid Res Inst Co Ltd, State Key Lab Adv Power Transmiss Technol, Beijing, Peoples R China
来源：
2022 25TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2022) | 2022年
关键词：
Power quality; Disturbance characteristics; Data-driven; Disturbance source location;
D O I：
10.1109/ICEMS56177.2022.9983224
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Accurate description of disturbance characteristics of power quality is the premise of analyzing the influence of interference sources on the power grid, identifying and locating interference sources, and carrying out interference source management. This paper presents a data-driven modeling method for disturbance characteristics of power quality interference sources, including a data-driven modeling process, timing feature, statistical feature description, and related parameter acquisition method. Based on the disturbance characteristics of the power quality disturbance source, the method of power quality disturbance source location is proposed.
引用
收藏
页数：5
相关论文
共 50 条
  • [21] Multi-Source Pandemic Data Visualization and Synchronization for Information Extraction
    Zhang, Qi
    Brokaw, James
    [J]. 2023 IEEE 13TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE, CCWC, 2023, : 140 - 146
  • [22] Application Research of Multi-source Information Fusion Technology in Power Network Fault Diagnosis
    Liu, Shuxin
    Zhao, Enmin
    Zhang, Yanjun
    Li, Jing
    Zhang, Liang
    Cao, Yundong
    [J]. 2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018), 2019, 1187
  • [23] Edge Consistency Feature Extraction Method for Multi-Source Image Registration
    Zhou, Yang
    Han, Zhen
    Dou, Zeng
    Huang, Chengbin
    Cong, Li
    Lv, Ning
    Chen, Chen
    [J]. REMOTE SENSING, 2023, 15 (20)
  • [24] A Framework for Identity Resolution and Merging for Multi-source Information Extraction
    Yankova, Milena
    Saggion, Horacio
    Cunningham, Hamish
    [J]. SIXTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, LREC 2008, 2008, : 1367 - 1372
  • [25] Fault Diagnosis Method for Power Distribution Systems Based on Multi-source Information
    Li, Weijian
    Chen, Wei
    Guo, Chuangxin
    Zhu, Bingquan
    Xu, Lizhong
    [J]. IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 244 - 249
  • [26] Multi-source Information Based Comprehensive Condition Evaluation Model for Power Transformer
    Zheng, Yiming
    Wang, Wenhao
    He, Wenlin
    Liu, Haojun
    Sun, Xiang
    Zhan, Jiangyang
    Zou, Guoping
    [J]. 2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 1394 - 1398
  • [27] An intelligent quality-based approach to fusing multi-source probabilistic information
    Yager, Ronald R.
    Petry, Fred
    [J]. INFORMATION FUSION, 2016, 31 : 127 - 136
  • [28] An intelligent quality-based approach to fusing multi-source possibilistic information
    Bouhamed, Sonda Ammar
    Kallel, Imene Khanfir
    Yager, Ronald R.
    Bosse, Eloi
    Solaiman, Basel
    [J]. INFORMATION FUSION, 2020, 55 : 68 - 90
  • [29] Multi-label feature selection based on information entropy fusion in multi-source decision system
    Wenbin Qian
    Sudan Yu
    Jun Yang
    Yinglong Wang
    Jihao Zhang
    [J]. Evolutionary Intelligence, 2020, 13 : 255 - 268
  • [30] Multi-Source Information Fusion Based on Neural Networks in Air Quality Forecasting
    Zhao, Xiaoqiang
    Chen, Yubing
    Gao, Qiang
    Deng, Dan
    [J]. PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL AND AUTOMATION ENGINEERING (ECAE 2017), 2017, 140 : 164 - 168
12345