A Laplacian-Based Approach for Finding Near Globally Optimal Solutions to OPF Problems

Daniel K. Molzahn, Cédric Josz, Ian A. Hiskens, Patrick Panciatici

Type: Preprint

Publication Date: 2015-07-26

Citations: 1

Locations

arXiv (Cornell University) - View

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+	Laplacian Support Vector Machines Trained in the Primal	2009	Stefano Melacci Mikhail Belkin
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+ PDF Chat	Application of the Moment-SOS Approach to Global Optimization of the OPF Problem	2014	Cédric Josz Jean Maeght Patrick Panciatici Jean Charles Gilbert
+ PDF Chat	Sparsity-Exploiting Moment-Based Relaxations of the Optimal Power Flow Problem	2014	Daniel K. Molzahn Ian A. Hiskens
+	Exploiting Sparsity in SDP Relaxations of the OPF Problem	2011	Rabih A. Jabr
+ PDF Chat	Laplacians for flow networks	2011	Joshua A. Taylor Franz S. Hover
+ PDF Chat	Reduced-Complexity Semidefinite Relaxations of Optimal Power Flow Problems	2014	Martin S. Andersen Anders Hansson Lieven Vandenberghe
+ PDF Chat	Optimal Power Flow as a Polynomial Optimization Problem	2015	Bissan Ghaddar Jakub Mareček Martin Mevissen
+ PDF Chat	Inexactness of SDP Relaxation and Valid Inequalities for Optimal Power Flow	2015	Burak Kocuk Santanu S. Dey Xu Andy Sun
+	YALMIP : a toolbox for modeling and optimization in MATLAB	2005	Johan Löfberg