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.
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页数：5
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