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Consonant

书目名称Graph Theory Applications to Deregulated Power Systems影响因子(影响力)




书目名称Graph Theory Applications to Deregulated Power Systems影响因子(影响力)学科排名




书目名称Graph Theory Applications to Deregulated Power Systems网络公开度




书目名称Graph Theory Applications to Deregulated Power Systems网络公开度学科排名




书目名称Graph Theory Applications to Deregulated Power Systems被引频次




书目名称Graph Theory Applications to Deregulated Power Systems被引频次学科排名




书目名称Graph Theory Applications to Deregulated Power Systems年度引用




书目名称Graph Theory Applications to Deregulated Power Systems年度引用学科排名




书目名称Graph Theory Applications to Deregulated Power Systems读者反馈




书目名称Graph Theory Applications to Deregulated Power Systems读者反馈学科排名

SLAG

Cyber Physical Systems Security for the Smart Grid,ns, traditional security mechanism are not enough for protecting CPS, and we require resilient control and estimation algorithms for true CPS defense-in-depth[.]. In this chapter we outline how attacks and resilient mechanisms can affect and defend power grid operations.

occult

https://doi.org/10.1007/4-431-28576-8nes and about critical substations. Additionally, this chapter presents some security studies based on the critical tie lines connecting subnetwork using the so-called Power Transfer Distribution Factors (PTDFs).

forthy

Network Robustness for Power Systems,nes and about critical substations. Additionally, this chapter presents some security studies based on the critical tie lines connecting subnetwork using the so-called Power Transfer Distribution Factors (PTDFs).

Alpha-Cells

FID

Minimally Invasive Neurosurgerydevelop a useful topological characterization of the power system network based on graph theoretic concepts to gain insights into its structural properties. The identification of multiple sub-networks provides effective schemes to analyze critical contingencies.

FID

Topological Characterization of Power Systems Networks,duced from them. Specifically, this chapter deduces results from the eigenvalues and eigenvectors of the adjacency and Laplacian matrices related with network properties. Moreover, this chapter includes a complete explanation and deduction from an optimization point of view for all results and his insights for applications.

注意力集中

闹剧

https://doi.org/10.1007/978-3-319-72592-5e of important network properties, it considers the construction of the adjacency, degree and the Laplacian matrices and the properties that can be deduced from them. Specifically, this chapter deduces results from the eigenvalues and eigenvectors of the adjacency and Laplacian matrices related with

狂热语言

Minimally Invasive Neurosurgeryssment with the objective to develop a practical scheme to identify the tie lines that connect the constituent sub-networks in the grid structure. We develop a useful topological characterization of the power system network based on graph theoretic concepts to gain insights into its structural prope