Correlation Data Analysis for Low-Frequency Oscillation Source Identification

被引：0
|
作者：
Zuo, Jian [1 ]
Xiang, Meng [1 ]
Zhang, Bin [1 ]
Hen, Daojun C. [1 ]
Guo, Hu [1 ]
机构：
[1] State Grid Hunan Elect Power Corp Res Inst, Power Syst Technol Dept, Changsha, Hunan, Peoples R China
来源：
2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2017年
关键词：
low frequency oscillation; wide area measurement system(WAMS); phasor measurement units (PMUs); energy management system(EMS); correlation data analysis; Pearson correlation coefficient(PCC); Classification decision tree; POWER-SYSTEMS;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The wide area measurement system (WAMS) is widely used in power system and it generates large volume of data. How to use WAMS data to identify the low-frequency oscillation (mode) source in power system remains a great challenge. This paper proposes the correlation data analysis including Pearson correlation coefficient (PCC) and classification decision tree methods, to use the correlation between WAMS and energy management system (EMS) data for low-frequency oscillation (mode) source identification. The case study shows these methods are very efficient and provides a new perspective for processing large volume of WAMS data with EMS data, for low-frequency oscillation (mode) source identification in power system.
引用
收藏
页码：1466 / 1470
页数：5
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