Identification and Categorisation of Critical Synchronous Generators for Transient Stability Analysis
被引:1
作者:
Khalkho, Anant Milan
论文数: 0引用数: 0
h-index: 0
机构:
Birla Inst Technol, Dept Elect & Elctron, Ranchi, Bihar, IndiaBirla Inst Technol, Dept Elect & Elctron, Ranchi, Bihar, India
Khalkho, Anant Milan
[1
]
Mohanta, Dusmanta Kumar
论文数: 0引用数: 0
h-index: 0
机构:
Birla Inst Technol, Dept Elect & Elctron, Ranchi, Bihar, IndiaBirla Inst Technol, Dept Elect & Elctron, Ranchi, Bihar, India
Mohanta, Dusmanta Kumar
[1
]
机构:
[1] Birla Inst Technol, Dept Elect & Elctron, Ranchi, Bihar, India
来源:
2019 IEEE 16TH INDIA COUNCIL INTERNATIONAL CONFERENCE (IEEE INDICON 2019)
|
2019年
关键词:
principal component analysis (PCA);
K-means clustering;
phasor measurement unit (PMU);
TREE;
D O I:
10.1109/indicon47234.2019.9030345
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
The health of the generators in a large power system needs to be monitored for necessary protective action. The present work uses rotor angle delta (delta(m)) estimated from the bus voltage and current phasors obtained from synchronized phasor measurements. Since the obtained data is voluminous the estimated data is reduced using principal component analysis (PCA) and based on similarity of data the generators are grouped using K-means clustering. The generator clusters are based on their degree of criticality so that commensurate action can be taken to protect the generators.