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Please use this identifier to cite or link to this item: http://hdl.handle.net/11299/123379

Title: Efficiently Monitoring and Optimizing the Power Grid
Authors: Zhu, Hao
Keywords: Power system
smart grid
state estimation
semidefinite relaxation
Issue Date: 2012
Abstract: The smart grid vision is to revitalize the electric power grid by capitalizing on advanced sensing, machine learning, optimization, communication, and control technologies to address the pressing issues related to security, stability, environmental impact, market diversity, and renewable energy sources. This work aims to effectively realize this vision through integrating cyber-intelligence to the aging infrastructure. It proposes to markedly improve power system monitorability even in the face of adversarial effects such as noisy and compromised measurements, as well as equip the power system operators with tools to quickly diagnose and effectively respond to faults, instabilities, and attacks in the grid.
URI: http://purl.umn.edu/123379
Appears in Collections:Doctoral Research Showcase

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