Convex quadratic relaxations for mixed-integer nonlinear programs in power systems

This paper presents a set of new convex quadratic relaxations for nonlinear and mixed-integer nonlinear programs arising in power systems. The considered models are motivated by hybrid discrete/continuous applications where existing approximations do not provide optimality guarantees. The new relaxa...

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Vydáno v:	Mathematical programming computation Ročník 9; číslo 3; s. 321 - 367
Hlavní autoři:	Hijazi, Hassan, Coffrin, Carleton, Hentenryck, Pascal Van
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2017 Springer Nature B.V
Témata:	Computational efficiency Computing time Full Length Paper Mathematics Mathematics and Statistics Mathematics of Computing Nonlinear systems Operations Research/Decision Theory Optimization Power flow Semidefinite programming Switching Theory of Computation Global optimization 90C30 Mixed-integer nonlinear programming Optimal power flow 90C25 90C11 Convex relaxation Capacitor placement 90C90 90C26 Optimal transmission switching
ISSN:	1867-2949, 1867-2957
On-line přístup:	Získat plný text
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