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Cyber Physical Security Analysis for Synchrophasor Applications

Author: Ren Liu; Anurag K Srivastava; Washington State University,; Washington State University. School of Electrical Engineering and Computer Science.
Publisher: [Pullman, Washington] : Washington State University, 2017.
Dissertation: Ph. D. Washington State University 2017.
Edition/Format:   Thesis/dissertation : Thesis/dissertation : eBook   Computer File : English
Summary:
With ongoing smart grid activities, advancements in Information and Communication Technology (ICT) coupled with the development of sensors are being utilized for better situational awareness, decision support, and control of the power grid. One of the advanced sensor devices in smart grid is Phasor Measurement Unit (PMU). PMU can provide high-speed and accurate synchrophasors, which are time-synchronized magnitude
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Details

Genre/Form: Academic theses
Material Type: Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Ren Liu; Anurag K Srivastava; Washington State University,; Washington State University. School of Electrical Engineering and Computer Science.
OCLC Number: 1091586513
Notes: "Doctor of Philosophy, Washington State University, School of Electrical Engineering and Computer Science, December 2017."
Description: 1 online resource (148 pages)
Responsibility: by Ren Liu.

Abstract:

With ongoing smart grid activities, advancements in Information and Communication Technology (ICT) coupled with the development of sensors are being utilized for better situational awareness, decision support, and control of the power grid. One of the advanced sensor devices in smart grid is Phasor Measurement Unit (PMU). PMU can provide high-speed and accurate synchrophasors, which are time-synchronized magnitude and phase angle values of voltage and current.

However, advanced technologies also bring potential cyber and physical vulnerabilities into power system. Thus, it is critical to understand the complex interdependencies between cyber and power domains, and analyze the potential impacts of cyber events on the synchrophasor applications. Thus, an integrated cyber physical testbed is developed and utilized to validate the cyber physical security of synchrophasor application. Furthermore, to analyze synchrophasor decentralized applications for power system operation and control, the large-scale power system needs to be modeled and simulated in real-time. However, a single unit of real-time simulator has limited simulation capabilities. Thus, a real-time predictor is developed to enable the geographically distributed real-time co-simulation.

In the cyber physical analysis for synchrophasor application, one of the most important parts is the False Data Injection (FDI) attack on monitoring system, since FDI attack can affect many different synchrophasor applications by manipulating the state estimation results, which are the input data of other synchrophasor applications. Current research only focuses on the mathematical analysis of FDI attack, but the requirements for these methods are not realistic. A new realistic FDI attack is proposed in this dissertation and corresponding defense mechanisms are also developed.

With increasing deployment of wind generation in the power system, intermittency and uncertainty in wind generation may cause exceeding the line ratings of the low voltage transmission lines resulting in required wind generation curtailment. In order to keep increasing the integration of renewable wind energy and maintain the secure operation of power system, both centralized Remedial Action Scheme (RAS) and Decentralized Remedial Action Scheme (DRAS) are developed. The cyber security analysis of the developed RAS demonstrates additional defense mechanisms possible for DRAS.

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