Distributed State Estimation for State-Saturated Power Systems under Denial-of-Service Attacks

In this paper, the distributed state estimation problem is studied for a class of state-saturated power systems subject to Denial-of-Service (DoS) attacks. The randomly occurring DoS attacks is modeled by a series of Bernoulli distributed stochastic variables with known probability distributions. The aim of this paper is to design a distributed estimator ensure, in the presence of both cyber-attacks and state saturations, the desired estimation performance is satisfied. By virtue of some typical matrix inequalities, a tight upper bound of estimation error covariance is derived. The estimation parameters are obtained with the help of the solution of a set of Riccatilike difference equations. The developed recursive algorithm is independent of the global information and thus satisfies the requirements of scalability and online application. Finally, a practical example is developed to verify the validity of the designed estimator.