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dc.contributor.authorMacFie, PJ-
dc.contributor.authorTaylor, GA-
dc.contributor.authorIrving, MR-
dc.contributor.authorHurlock, P-
dc.contributor.authorWan, H-
dc.identifier.citationIEEE Transactions on Power Systems 25(3): 1478-1485, Aug 2010en_US
dc.descriptionThe official published version can be obtained from the link below - Copyright @ 2010 IEEE.en_US
dc.description.abstractOptimal reactive power flow applications often model large numbers of discrete shunt devices as continuous variables, which are rounded to their nearest discrete value at the final iteration. This can degrade optimality. This paper presents novel methods based on probabilistic and adaptive threshold approaches that can extend existing security constrained optimal reactive power flow methods to effectively solve large-scale network problems involving discrete shunt devices. Loss reduction solutions from the proposed techniques were compared to solutions from the mixed integer nonlinear mathematical programming algorithm (MINLP) using modified IEEE standard networks up to 118 buses. The proposed techniques were also applied to practical large-scale network models of Great Britain. The results show that the proposed techniques can achieve improved loss minimization solutions when compared to the standard rounding method.en_US
dc.description.sponsorshipThis work was supported in part by the National Grid and in part by the EPSRC. Paper no. TPWRS-00653-2009.en_US
dc.subjectDiscrete shunt controlen_US
dc.subjectInteger programmingen_US
dc.subjectLarge-scale transmission networksen_US
dc.subjectLoss minimizationen_US
dc.subjectOptimal controlen_US
dc.subjectOptimization methodsen_US
dc.subjectPower system modelingen_US
dc.subjectReactive power controlen_US
dc.subjectSecurity constrained optimal reactive power flowen_US
dc.titleProposed shunt rounding technique for large-scale security constrained loss minimizationen_US
dc.typeResearch Paperen_US
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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