引用本文:李红俊,董彧,赵文祥,孟涛,潘捷,商显俊.考虑关键节点信息缺失的低频振荡扰动源定位方法[J].电力自动化设备,2018,(3):
LI Hongjun,DONG Yu,ZHAO Wenxiang,MENG Tao,PAN Jie,SHANG Xianjun.Disturbance source location method for low frequency oscillation considering information loss of key nodes[J].Electric Power Automation Equipment,2018,(3):
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考虑关键节点信息缺失的低频振荡扰动源定位方法
李红俊1, 董彧2, 赵文祥1, 孟涛3, 潘捷3, 商显俊4
1.江苏大学电气信息工程学院,江苏镇江212000;2.新南威尔士大学电气与通信工程学院,澳大利亚悉尼1466;3.国网山西省电力公司,山西太原030000;4.国网江苏省电力公司常州供电公司,江苏常州213000
摘要:
目前电力系统中相量测量单元(PMU)的配置无法满足电网整体的可观测性要求,关键节点的数据缺失是扰动源定位的一大硬伤。在结合电网数据采集与监视控制(SCADA)系统和广域测量系统(WAMS)的基础上,提出一种考虑关键节点数据缺失的低频振荡扰动源定位方法。首先定义低频振荡的耗散能量,分析耗散能量具有方向性的物理机制;然后综合PMU和SCADA的数据进行曲线回归分析,补偿缺失的关键节点数据。某电网算例结果表明,所提方法能够满足扰动源准确定位的要求。
关键词:  电力系统  低频振荡  扰动源定位  信息缺失  回归分析  稳定
DOI:10.16081/j.issn.1006-6047.2018.03.030
分类号:TM712
基金项目:
Disturbance source location method for low frequency oscillation considering information loss of key nodes
LI Hongjun1, DONG Yu2, ZHAO Wenxiang1, MENG Tao3, PAN Jie3, SHANG Xianjun4
1.Jiangsu University, Zhenjiang 212000, China;2.University of New South Wales, Sydney 1466, Australia;3.State Grid Shanxi Electric Power Company, Taiyuan 030000, China;4.State Grid Changzhou Power Supply Company, Changzhou 213000, China
Abstract:
The current configuration of PMU(Phasor Measurement Unit) in power system can not meet the observability requirement of overall grid, the information loss of key nodes is a mishap in disturbance source location. Based on the SCADA(Supervisory Control And Data Acquisition) system and WAMS(Wide Area Measurement System),a disturbance source location method for low frequency oscillation with the consideration of information loss of key nodes is proposed. The dissipation energy of low frequency oscillation is defined, and the physical mechanism of its directivity is analyzed. The curve regression analysis is carried out based on the data of PMU and SCADA for compensating the missing data of key nodes. The results of a power grid case show that, the proposed method can satisfy the requirement of accurate location of disturbance source.
Key words:  electric power systems  low frequency oscillation  disturbance source location  information loss  regression analysis  stability

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