Robust fault diagnosis of power grid network system

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.

[1]  R. Patton,et al.  Robust fault detection using eigenstructure assignment: a tutorial consideration and some new results , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[2]  S. Shankar Sastry,et al.  Research Challenges for the Security of Control Systems , 2008, HotSec.

[3]  Mickael Rodrigues,et al.  Robust H∞ fault diagnosis for multi-model descriptor systems: A multi-objective approach , 2010, 18th Mediterranean Conference on Control and Automation, MED'10.

[4]  S. Shankar Sastry,et al.  Secure Control: Towards Survivable Cyber-Physical Systems , 2008, 2008 The 28th International Conference on Distributed Computing Systems Workshops.

[5]  B. M. Arx.  Design of observers for Takagi-Sugeno descriptor systems with unknown inputs and application to fault diagnosis , 2008 .

[6]  S. Mammar,et al.  H/spl infin/ fault detection and isolation for descriptor systems: a matrix inequalities approach , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[7]  Peter W. Sauer,et al.  Power System Dynamics and Stability , 1997 .

[8]  Guang-Ren Duan,et al.  Robust fault detection in descriptor linear systems via generalized unknown input observers , 2002, Int. J. Syst. Sci..

[9]  Alvaro A. Cárdenas,et al.  Attacks against process control systems: risk assessment, detection, and response , 2011, ASIACCS '11.

[10]  Ming Hou,et al.  Fault Detection and Isolation for Descriptor Systems , 2000 .

[11]  Marco Aiello,et al.  The Power Grid as a Complex Network: a Survey , 2011, ArXiv.

[12]  Florian Dörfler,et al.  Attack Detection and Identification in Cyber-Physical Systems -- Part II: Centralized and Distributed Monitor Design , 2012, ArXiv.

[13]  G. Duan,et al.  Parametric approach for eigenstructure assignment in descriptor systems via output feedback , 1995 .

[14]  F. Bullo,et al.  A graph-theoretical characterization of power network vulnerabilities , 2011, Proceedings of the 2011 American Control Conference.

[15]  Didier Maquin,et al.  Fault detection, isolation and estimation for Takagi-Sugeno nonlinear systems , 2014, J. Frankl. Inst..

[16]  Marios M. Polycarpou,et al.  Fault diagnosis of differential-algebraic systems , 2001, IEEE Trans. Syst. Man Cybern. Part A.

[17]  S. Shankar Sastry,et al.  Safe and Secure Networked Control Systems under Denial-of-Service Attacks , 2009, HSCC.

[18]  B. Marx,et al.  Design of observers for TakagiߝSugeno descriptor systems with unknown inputs and application to fault diagnosis , 2007 .

[19]  Pituk Bunnoon.  Fault Detection Approaches to Power System: State-of-the-Art Article Reviews for Searching a New Approach in the Future , 2013 .

[20]  Peng Ning,et al.  False data injection attacks against state estimation in electric power grids , 2011, TSEC.