Roberto Mínguez

Dr. Roberto Mínguez

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Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2010 in Applied Energy
Verified
Journal Article
Closed access
JMJ.M. Morales
J.M. Morales
RMRoberto Mínguez
Roberto Mínguez
ACAntonio J Conejo
Antonio J Conejo

1 July 2012 in Coastal Engineering
Verified
Journal Article
Closed access
Borja G RegueroBorja G Reguero
Borja G Reguero
MMM. Menéndez
M. Menéndez
FMF.J. Méndez
F.J. Méndez
RMRoberto Mínguez
Roberto Mínguez
ILI.J. Losada
I.J. Losada

1 May 2013 in Renewable Energy
Verified
Journal Article
Closed access
BPBeatriz Pérez
Beatriz Pérez
RMRoberto Mínguez
Roberto Mínguez
Raúl GuancheRaúl Guanche
Raúl Guanche

1 December 2008 in Reliability Engineering & System Safety
Verified
Journal Article
Closed access
ECEnrique Castillo
Enrique Castillo
RMRoberto Mínguez
Roberto Mínguez
CCCarmen Castillo
Carmen Castillo

1 February 2010 in Transportation Research Part B: Methodological
Verified
Journal Article
Closed access
RMRoberto Mínguez
Roberto Mínguez
SSS. Sánchez-Cambronero
S. Sánchez-Cambronero
ECEnrique Castillo
Enrique Castillo
Pilar JiménezPilar Jiménez
Pilar Jiménez

29 October 2007 in IEEE Transactions on Power Systems
Verified
Journal Article
Closed access
RMRoberto Mínguez
Roberto Mínguez
Federico MilanoFederico Milano
Federico Milano
RZRafael Zarate-Minano
Rafael Zarate-Minano
ACAntonio J Conejo
Antonio J Conejo
This paper addresses the optimal placement of static Var compensators (SVCs) in a transmission network in such a manner that its loading margin is maximized. A multi scenario framework that includes contingencies is considered. This problem is formulated as a nonlinear programming problem that includes binary decisions, i.e., variables to decide the actual placement of the SVCs. Given the mixed-integer nonconvex nature of this problem, a Benders decomposition technique within a restart framework is used. Detailed numerical simulations on realistic electric energy systems demonstrate the appropriate behavior of the proposed technique. Conclusions are duly drawn.