Power grid state estimation after a cyber-physical attack under the AC power flow model

Author(s):  
Saleh Soltan ◽  
Gil Zussman
2014 ◽  
Vol 1070-1072 ◽  
pp. 902-908
Author(s):  
Qun Yu ◽  
Yi Ma ◽  
Min Zhang ◽  
Liang Shi

In this paper a blackout AC power flow model considering the probability of line stoppage in the process of power grid growth is given,and the self-organized critical state in the process of power grid growth is studied with the power grid upgrade rate is equal、greater or less than the load growth rate.Simulation results show that power grid upgrading rate must meet the system's load growth, or the probability of failure will be greatly increased with the grid exceed the critical state while the load growth faster than the grid upgrading in the long process of building the power grid. The model and simulation results presented in this paper provide a theoretical basis for the planning and construction of the power grid.


Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3308
Author(s):  
Xingpeng Li

Though the full AC power flow model can accurately represent the physical power system, the use of this model is limited in practice due to the computational complexity associated with its non-linear and non-convexity characteristics. For instance, the AC power flow model is not incorporated in the unit commitment model for practical power systems. Instead, an alternative linearized DC power flow model is widely used in today’s power system operational and planning tools. However, DC power flow model will be useless when reactive power and voltage magnitude are of concern. Therefore, a linearized AC (LAC) power flow model is needed to address this issue. This paper first introduces a traditional LAC model and then proposes an enhanced data-driven linearized AC (DLAC) model using the regression analysis technique. Numerical simulations conducted on the Tennessee Valley Authority (TVA) system demonstrate the performance and effectiveness of the proposed DLAC model.


Author(s):  
Shouvik Kumar Samanta ◽  
Chandan Kumar Chanda

<p>Though the number of traditional literature reviews most of the researchers in this area have concluded that modern intelligent electric network a referred standard new model which is considering for proposed power flow model analysis of Smart power grid vulnerability through composite network. By the theorem of Max-Flow and complex power network theorems that are represented the advance vulnerability indices for pick out endangered lines of the smart grid network. In other hand, the power flow model and existing models simulation are examined on the IEEE 39-bus test model. The results of the simulation introduced that the proposed concept of grid model, estimation and the index application are more adequate in smart grid weakness power and efficiency analysis. In this paper briefly summarize the methods and probabilities of a vulnerability index which was explained in specific in references. Therefore, it is imperative to further implement new models and new tools so as to reach the novel state and moderate the huge or massive potential shutoff.</p>


2018 ◽  
Vol 5 (1) ◽  
pp. 499-512 ◽  
Author(s):  
Saleh Soltan ◽  
Mihalis Yannakakis ◽  
Gil Zussman

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