Cascading Failure Analysis for Indian Power Grid

Rampurkar, Vaishali; Pentayya, P.; Mangalvedekar, H. A.; Kazi, Faruk

doi:10.1109/tsg.2016.2530679

Cited by 118 publications

(49 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A Power system plays an important role in supporting modern lives and economy. Upon a late detection, the initial failures in a power system, may lead to a large-scale cascade failure, and adversely affect the economy and security of a nation [1]. Malicious attacks on a power system can lead to an initially undetectable failure and eventually result in failure if not attended in time.…”

Section: Introductionmentioning

confidence: 99%

Local Cyber-Physical Attack for Masking Line Outage and Topology Attack in Smart Grid

Chung

Yuen

et al. 2019

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

Malicious attacks in the power system can eventually result in a large-scale cascade failure if not attended on time. These attacks, which are traditionally classified into physical and cyber attacks, can be avoided by using the latest and advanced detection mechanisms. However, a new threat called cyber-physical attacks which jointly target both the physical and cyber layers of the system to interfere the operations of the power grid is more malicious as compared with the traditional attacks. In this paper, we propose a new cyber-physical attack strategy where the transmission line is first physically disconnected, and then the line-outage event is masked, such that the control center is misled into detecting as an obvious line outage at a different position in the local area of the power system. Therefore, the topology information in the control center is interfered by our attack. We also propose a novel procedure for selecting vulnerable lines, and analyze the observability of our proposed framework. Our proposed method can effectively and continuously deceive the control center into detecting fake line-outage positions, and thereby increase the chance of cascade failure because the attention is given to the fake outage. The simulation results validate the efficiency of our proposed attack strategy.

show abstract

Section: Introductionmentioning

confidence: 99%

Local Cyber-Physical Attack for Masking Line Outage and Topology Attack in Smart Grid

Chung

Yuen

et al. 2019

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

show abstract

“…Owing to the effect of electrical transient coupling phenomena among nodes, the cascading failure of power system may arise for various reasons, such as when accidental failures or intentional attacks happens to one or more vulnerable nodes. There have been several accidental blackouts of the power grid, eg, the blackout in the North American continent (August 14, 2003) that affected 50 million people in a very large area and the cascading outage of power system in Italy (September 28, 2003), In addition, some of the terrorist attacks in recent years also indicate that terrorist groups may attempt to destroy power system by attacking vulnerable nodes in the grid . To address the issues mentioned above, power system engineers are studying techniques to ensure the safety of the power grid that experiences a failure or attack …”

Section: Introductionmentioning

confidence: 99%

“…1,2 Owing to the effect of electrical transient coupling phenomena among nodes, the cascading failure of power system may arise for various reasons, such as when accidental failures or intentional attacks happens to one or more vulnerable nodes. There have been several accidental blackouts of the power grid, eg, the blackout in the North American continent (August 14, 2003) that affected 50 million people in a very large area 3,4 and the cascading outage of power system in Italy [5][6][7][8] (September 28, 2003), In addition, some of the terrorist attacks in recent years also indicate that terrorist groups may attempt to destroy power system by attacking vulnerable List of Symbols and Abbreviation: CNs, complex networks; CTRank, coupling tracking rank; PR, PageRank; RECE, regional electrical coupling coefficient; C i , regional electrical coupling coefficient; c ij , electrical coupling coefficient; E i , regional interdependency efficiency; I, current vector of nodes; I i , regional electric coupling coefficient; P ij , active power; p ij , normalized edge weight; Q ij , reactive power; S ij , apparent power from one node to its neighbor node; U, voltage vector of nodes; U ij , voltage between node v i and v j ; v i , node number; w, edge weight; w ki′ , dependency degree; Z, node impedance matrix; Z ij , equivalent electrical impedance; U node10 drop max , voltage drop caused by the node 10; U node6 drop max , voltage drop caused by node 6; Ω out i , set of nodes that extracts power flow form node; Ω in i , set of nodes that supplies power to node; α, interdependency efficiency distribution coefficient; σ, damping factor nodes in the grid. 9 To address the issues mentioned above, power system engineers are studying techniques to ensure the safety of the power grid that experiences a failure or attack.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability analysis of power system based on dynamic regional electrical coupling

Zhou

et al. 2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Power systems play a crucial role in people's lives. To ensure the safety of this system, a vulnerability analysis of the power system is carried out to identify the vulnerable nodes in the grid. First, the electrical coupling relation between neighbor nodes is designed according to the equivalent electrical impedance of power transmission lines, and the regional electrical coupling coefficient, which reflects a node's ability to affect its neighbor nodes' operation state, is defined. Then, considering both the level and direction of power flow on power transmission line, the regional interdependency efficiency of the node is presented to improve the regional electrical coupling coefficient mentioned above. To take into account the dynamic propagation of electrical state coupling among nodes in the power system, a coupling tracking rank algorithm is proposed to identify the correlation between the failure of nodes and transient state of the power system. The proposed method is validated using the IEEE 39‐BUS test system. Simulation results demonstrate that the nodes that affect the transient stability of power system most when they fail can be identified effectively.

show abstract

“…This increases the uncertainty of the system dynamic behavior and the risk of large blackouts [1]. Many power outages have occurred in recent years [2,3], for instance, the western North America blackouts in 1996 [4], the North American blackouts in 2003 [5], and the India blackouts in 2012 [6]. Frequent accidents expose the potential problems of current power system analysis methods, especially concerning system vulnerability.…”

Section: Introductionmentioning

confidence: 99%

Identification of Critical Transmission Lines in Complex Power Networks

Wang

Nechifor

et al. 2017

Energies

View full text Add to dashboard Cite

Growing load demands, complex operating conditions, and the increased use of intermittent renewable energy pose great challenges to power systems. Serious consequences can occur when the system suffers various disturbances or attacks, especially those that might initiate cascading failures. Accurate and rapid identification of critical transmission lines is helpful in assessing the system vulnerability. This can realize rational planning and ensure reliable security pre-warning to avoid large-scale accidents. In this study, an integrated "betweenness" based identification method is introduced, considering the line's role in power transmission and the impact when it is removed from a power system. At the same time, the sensitive regions of each line are located by a cyclic addition algorithm (CAA), which can reduce the calculation time and improve the engineering value of the betweenness, especially in large-scale power systems. The simulation result verifies the effectiveness and the feasibility of the identification method.

show abstract

Cascading Failure Analysis for Indian Power Grid

Cited by 118 publications

References 30 publications

Local Cyber-Physical Attack for Masking Line Outage and Topology Attack in Smart Grid

Local Cyber-Physical Attack for Masking Line Outage and Topology Attack in Smart Grid

Vulnerability analysis of power system based on dynamic regional electrical coupling

Identification of Critical Transmission Lines in Complex Power Networks

Contact Info

Product

Resources

About