An Adaptive Routing Algorithm Over Packet Switching Networks for Operation Monitoring of Power Transmission Systems

Chuang, Chen-Lian; Wang, Yung-Chung; Lee, Chien-Hsing; Liu, Maw-Yang; Hsiao, Ying-Tung; Jiang, Joe‐Air

doi:10.1109/tpwrd.2008.2008494

Cited by 16 publications

(8 citation statements)

References 15 publications

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“…Thus, new schemes are needed that can be implemented by both powerful and resource-limited devices. Preliminary results on QoS routing solutions specific to smart grids have been developed in [223,224]. However, it is still an open problem to understand the impact of power system dynamics on the stability of QoS routing, or how to define QoS requirements in the context of smart grid.…”

Section: Qos Supportmentioning

confidence: 99%

The role of communication systems in smart grids: Architectures, technical solutions and research challenges

Ancillotti

Bruno

Conti

2013

Computer Communications

306

178

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Section: Qos Supportmentioning

confidence: 99%

The role of communication systems in smart grids: Architectures, technical solutions and research challenges

Ancillotti

Bruno

Conti

2013

Computer Communications

306

178

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“…The wide area monitoring system for phasor measurement unit (PMU) data consists of private networks. Monitoring networks for power transmission lines are also private networks .…”

Section: Information and Communication Technology Framework For Smartmentioning

confidence: 99%

“…As a result, metering data is usually transmitted through private networks in smart grid. Monitoring networks for power transmission lines are also private networks . In this case, utility companies shall have more control over the collected data and communication networks.…”

Section: Introductionmentioning

confidence: 99%

Identity‐based schemes for a secured big data and cloud ICT framework in smart grid system

Qian

2016

Security Comm Networks

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Smart grid is an intelligent cyber physical system (CPS). The CPS generates a massive amount of data for efficient grid operation. In this paper, a big data‐driven, cloud‐based information and communication technology (ICT) framework for smart grid CPS is proposed. The proposed ICT framework deploys hybrid cloud servers to enhance scalability and reliability of smart grid communication infrastructure. Because the data in the ICT framework contains much privacy of customers and important data for automated controlling, the security of data transmission must be ensured. In order to secure the communications over the Internet in the system, identity‐based schemes are proposed especially because of their advantage in key management. Specifically, an identity‐based signcryption (IBSC) scheme is proposed to provide confidentiality, non‐repudiation, and data integrity. For practical purposes, an identity‐based signature scheme is relaxed from the proposed IBSC to provide non‐repudiation only. Moreover, identity‐based schemes are also proposed to achieve signature delegation within the ICT framework. Security of the proposed IBSC scheme is rigorously analyzed in this work. Efficiency of the proposed IBSC scheme is demonstrated with an implementation using modified Weil pairing over an elliptic curve. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Reference [8] presents cases where intelligent attacks pass through system state estimation process without being detected by operator. Whereas reference [9] shows that the behavioral patterns of measuring units for attacks at different locations in the system are exactly similar to those with genuine disturbances (faults)…”

Section: List Of Tablesmentioning

confidence: 98%

Data Mining Framework for Monitoring Attacks In Power Systems

Alluri¹

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Vast deployment of Wide Area Measurement Systems (WAMS) has facilitated in increased understanding and intelligent management of the current complex power systems. Phasor Measurement Units (PMU's), being the integral part of WAMS transmit high quality system information to the control centers every second. With the North American Synchro Phasor Initiative (NAPSI), the number of PMUs deployed across the system has been growing rapidly. With this increase in the number of PMU units, the amount of data accumulated is also growing in a tremendous manner. This increase in the data necessitates the use of sophisticated data processing, data reduction, data analysis and data mining techniques. WAMS is also closely associated with the information and communication technologies that are capable of implementing intelligent protection and control actions in order to improve the reliability and efficiency of the existing power systems. Along with the myriad of advantages that these measurements systems, informational and communication technologies bring, they also lead to a close synergy between heterogeneous physical and cyber components which unlocked access points for easy cyber intrusions. This easy access has resulted in various cyber attacks on control equipment consequently increasing the vulnerability of the power systems. This research proposes a data mining based methodology that is capable of identifying attacks in the system using the real time data. The proposed methodology employs an online clustering technique to monitor only limited number of measuring units (PMU's) deployed across the system. Two different classification algorithms are implemented to detect the occurrence of attacks along with its location. This research also proposes a methodology to differentiate physical attacks with malicious data attacks and declare attack severity and criticality. The proposed methodology is implemented on IEEE 24 Bus reliability Test System using data generated for attacks at different locations, under different system topologies and operating conditions. Different cross validation studies are performed to determine all the user defined variables involved in data mining studies. The performance of the proposed methodology is completely analyzed and results are demonstrated. Finally the strengths and limitations of the proposed approach are discussed. First, I would like to sincerely thank my advisor, Dr. Sarika Khushalani Solanki, for her invaluable guidance and encouragement. Next, I would like to thank my second committee member Dr. Jignesh Solanki for his constant motivation and support. I would also like to thank my other committee member Dr. Muhammed A. Choudhry, whose feedback and reviews helped me improve the quality of this thesis. I would like to specially thank the 'Three Ladies in my life', my two sisters and my mother. Their love and affection have helped me overcome the toughest of challenges during these two and half hard years. Also I would also like to thank my dad for his support throughout my studies...

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An Adaptive Routing Algorithm Over Packet Switching Networks for Operation Monitoring of Power Transmission Systems

Cited by 16 publications

References 15 publications

The role of communication systems in smart grids: Architectures, technical solutions and research challenges

The role of communication systems in smart grids: Architectures, technical solutions and research challenges

Identity‐based schemes for a secured big data and cloud ICT framework in smart grid system

Data Mining Framework for Monitoring Attacks In Power Systems

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