LP-Based Power Grid Enhancement Methodology

11/20/2017 ∙ by Tapio Bohn, et al. ∙ 0 ∙ share

In this paper, we explored the opportunity to enhance power grid robustness after routing stage, and propose a linear programming based algorithm that maximizes the improvement of power grid strengthening with given available routing resource. We further discussed some techniques to leverage tradeoffs between runtime and optimality of the solutions. Experimental results show substantial power integrity improvement with "zero cost".

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Machine Learning Based Fast Power Integrity Classifier

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11/08/2017 ∙ by HuaChun Zhang, et al. ∙ 0 ∙ share

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Power Grid State Estimation under General Cyber-Physical Attacks

Effective defense against cyber-physical attacks in power grid requires ...
09/04/2020 ∙ by Yudi Huang, et al. ∙ 0 ∙ share

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Auction-based approximate algorithm for Grid system scheduling under resource provider strategies

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03/12/2018 ∙ by Arash Raeisi Gahrouei, et al. ∙ 0 ∙ share

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Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning

Attacks against the control processor of a power-grid system, especially...
06/18/2018 ∙ by Zecheng He, et al. ∙ 0 ∙ share

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Depth First Always On Routing Trace Algorithm

In this paper, we discussed current limitation in the electronic-design-...
11/11/2017 ∙ by Anthony Kim, et al. ∙ 0 ∙ share

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Customized Routing Optimization Based on Gradient Boost Regressor Model

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10/28/2017 ∙ by Chen Zheng, et al. ∙ 0 ∙ share

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Optimal Sensor Placement in Power Grids: Power Domination, Set Covering, and the Neighborhoods of Zero Forcing Forts

To monitor electrical activity throughout the power grid and mitigate ou...
06/04/2020 ∙ by Logan A. Smith, et al. ∙ 0 ∙ share

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LP-Based Power Grid Enhancement Methodology

Authors

Machine Learning Based Fast Power Integrity Classifier

Power Grid State Estimation under General Cyber-Physical Attacks

Auction-based approximate algorithm for Grid system scheduling under resource provider strategies

Detecting Zero-day Controller Hijacking Attacks on the Power-Grid with Enhanced Deep Learning

Depth First Always On Routing Trace Algorithm

Customized Routing Optimization Based on Gradient Boost Regressor Model

Optimal Sensor Placement in Power Grids: Power Domination, Set Covering, and the Neighborhoods of Zero Forcing Forts

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