Contingency Analysis of Power System using Big Data Analytic Techniques

被引:2
作者
Angadi, Ravi, V [1 ]
Daram, Suresh Babu [2 ]
Venkataramu, P. S. [3 ]
机构
[1] Presidency Univ, Dept EEE, Bengaluru, Karantaka, India
[2] Sree Vidyanikethan Engn Coll, Ctr Energy, Dept EEE, Tirupati, AP, India
[3] Presidency Univ, Bengaluru, Karantaka, India
来源
PROCEEDINGS OF THE 2020 5TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND SECURITY (ICCCS-2020) | 2020年
关键词
Contingency; Line Outage; Line Voltage Stability Index; Big Data; Data Analytics; Classification and Machine Learning; VOLTAGE;
D O I
10.1109/icccs49678.2020.9276796
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduce the application of Big Data Analytic Technique to predict the severity of various Single Transmission line outages. The severity of the outage is assessed by computing the Line Voltage Stability Index (LVSI) and is used for ranking purpose under different loading condition. This results in generation of large volume of data. The data obtained from the simulations for various scenarios is processed and applied to machine learning to predict the rank and severity condition of the line. The severity is predicted for various test systems to ascertain the suitability of the technique applied and the results of the study conducted on the IEEE 30 Bus system are presented with the analysis needed. The MATLAB and the WEKA software are used for simulation purpose.
引用
收藏
页数:7
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