Robust fault diagnosis of power grid network system

Abstract

Power Networks are composed of power generation, power transmission and power distribution networks. These are also called electro mechanical system due to the coupling of electrical system with mechanical system. Like any other technological system, power networks are also prone to faults and failures due to this electro-mechanical complex interconnection. In addition, there is a concept of smart grid in modern power networks. Therefore, there is a risk of cyber-attacks\faults on power networks. So, to maintain uninterrupted power, fault diagnosis/ cyber-attack detection in power networks is needed to detect, isolate and estimate the faults. A nonlinear power network is modeled by descriptor system. The descriptor systems require special mathematical techniques to deal its differential algebraic nature. This paper deals the fault detection of power network using nonlinear robust fault diagnosis descriptor approach. The fault diagnosis filters are designed for the detection and estimation of sensor and actuator fault for power networks.