Power System State Estimation by Linear Programming Under False Data Injection Attack and Contingency

被引：0
|
作者：
Ambekar, R. R. [1 ]
Mangalvedekar, H. A. [2 ]
机构：
[1] Watumull Inst, Bombay, Maharashtra, India
[2] VJTI, Dept Elect Engn, Bombay 19, Maharashtra, India
来源：
2017 INTERNATIONAL CONFERENCE ON INNOVATIVE MECHANISMS FOR INDUSTRY APPLICATIONS (ICIMIA) | 2017年
关键词：
Linear Programming; False Data Injection Attack; Smart Grid; contingency;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Security of Smart Grid is the main issue in power sector. The power sector is highly vulnerable to cyber physical attack as it uses modern infrastructure and communication devices. The Security of power system demands that the real time operation of power system should not be affected under occurrence of events. Contingency or outage of transmission line is one of the major events occurring in the power system. This paper presents that, on the basis of residue we can distinguished between False Data Injection Attack (FDIA) and Contingency. Linear programming method of state estimation is being used to find best estimates. Residues calculated under Contingency and attack are calculated and compared.
引用
收藏
页码：698 / 703
页数：6
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