Title :
Measurement sets in power system state estimator in presence of false data injection attack
Author :
Mangalwedekar, Sindhuja ; Surve, Sunil K.
Author_Institution :
Electron., FRCRCE, Mumbai, India
Abstract :
False data injection attacks (FDIA) on smart grid is a popular subject of current research. The presence of FDIA and other such attacks in smart grid is partly due to the combination of Information and Communication Technology with Power Systems. The FDIA on linear model of power system has been extensively analyzed in literature. However the non linear system model has not received the same amount of attention. This paper proposes the concept of balanced and unbalanced measurement set for the purpose of corrupting the state variables in linear and non-linear power system state estimators. The effect of balanced and unbalanced measurement sets for targeted constrained and unconstrained attacks are analyzed for linear and non-linear state estimators.
Keywords :
power engineering computing; power system security; power system state estimation; security of data; smart power grids; FDIA; false data injection attack; information and communication technology; nonlinear state estimators; power system state estimator; smart grid; unconstrained attacks; Fluid flow measurement; Linear systems; Measurement uncertainty; Power measurement; Power systems; Transmission line measurements; Voltage measurement; Cyber security; cyber physical; false data injection attacks; linear state estimation; non-linear state estimation; smart grid;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154827
