Experimental design for a large power system vulnerability estimation

Sanz, Fredy A.; Ramı́rez, Juan M.; Correa, Rosa E.

doi:10.1016/j.epsr.2014.11.026

Cited by 6 publications

(1 citation statement)

References 26 publications

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“…The existing studies on power network invulnerability are either based on analytic method [1,2] or inspired by complex network theory [5,6]. The former can fully reflect the functional features of the increasingly complex power networks, but is too complex to be applied widely or computed easily [3,4]. The latter approach supports rapid analysis of large networks, but has difficulty in analysing functional features.…”

Section: Introductionmentioning

confidence: 99%

A Novel Invulnerability Index for Invulnerability Assessment of Complex Power Network

Huang¹,

Hua²,

Li³

et al. 2019

EJEE

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Based on complex network theory and electrical analysis methods, this paper puts forward a novel Invulnerability index to improve invulnerability assessment of complex power network. The index was constructed based on concepts like line invulnerability value, invulnerability value of source-source-load pair, influence value and influence penalty. The invulnerability assessment effect of the index was compared with that of other indices under random, comprehensive static and comprehensive dynamic attacks. It was verified that the proposed invulnerability index outperformed other indices in the assessment of power network invulnerability. The research findings shed new light on the analysis of power network invulnerability.

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Section: Introductionmentioning

confidence: 99%

A Novel Invulnerability Index for Invulnerability Assessment of Complex Power Network

Huang¹,

Hua²,

Li³

et al. 2019

EJEE

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Security-State Estimation of Electrical Power Systems: A Methodological Proposal

Sanz

Collazos

Ruiz

et al. 2019

Computational Science and Its Applications – ICCSA 2019

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Security assessment techniques are a tool that allows the operational personnel of electrical systems to categorize operating conditions in different labels. Nowadays, the large size of power grids and the operating conditions close to their operating limits require efficient, safe and fast procedures to assess the overall grid security, being one of the challenges posed by smart grids conception. In this paper, a supervised learning approach that allows to integrate all the concepts of safety of the electrical network: voltage, angle, frequency, etc., to give an overall assessment of the system in terms of security which may be applied according to the regulations and geographical contexts of each country.

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