dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorLópez, Julio
dc.creatorContreras, Javier
dc.creatorMantovani, Jose R. S.
dc.date2015-10-21T21:16:20Z
dc.date2016-10-25T21:09:22Z
dc.date2015-10-21T21:16:20Z
dc.date2016-10-25T21:09:22Z
dc.date2015-02-19
dc.date.accessioned2017-04-06T09:10:32Z
dc.date.available2017-04-06T09:10:32Z
dc.identifierIet Generation Transmission &distribution. Hertford: Inst Engineering Technology-iet, v. 9, n. 3, p. 231-240, 2015.
dc.identifier1751-8687
dc.identifierhttp://hdl.handle.net/11449/129519
dc.identifierhttp://acervodigital.unesp.br/handle/11449/129519
dc.identifierhttp://dx.doi.org/10.1049/iet-gtd.2014.0224
dc.identifierWOS:000350148600003
dc.identifierhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7047291
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/940074
dc.descriptionThis study presents a risk-assessment approach to the reactive power planning problem. Chance-constrained programming is used to model the random equivalent availability of existing reactive power sources for a given confidence level. Load shedding because of random equivalent availability of those reactive power sources is implemented through conditional-value-at-risk. Tap settings of under-load tap-changing transformers are considered as integer variables. Active and reactive demands are considered as probability distribution functions. The proposed mathematical formulation is a two-stage stochastic, multi-period mixed-integer convex model. The tradeoff between risk mitigation and investment cost minimisation is analysed. The proposed methodology is applied to the CIGRE-32 electric power system, using the optimisation solver CPLEX in AMPL.
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageeng
dc.publisherInst Engineering Technology-iet
dc.relationIet Generation Transmission &distribution
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectRisk management
dc.subjectLoad shedding
dc.subjectPower transformers
dc.subjectMinimisation
dc.subjectInvestment
dc.subjectReactive power planning
dc.subjectConditional-value-at-risk assessment
dc.subjectChance-constrained optimisation
dc.subjectChance-constrained programming
dc.subjectRandom equivalent availability
dc.subjectReactive power sources
dc.subjectConfidence level
dc.subjectUnder-load tap-changing transformers
dc.subjectInteger variables
dc.subjectReactive demands
dc.subjectProbability distribution functions
dc.subjectMathematical formulation
dc.subjectTwo-stage stochastic model
dc.subjectMultiperiod mixed-integer convex model
dc.subjectRisk mitigation
dc.subjectInvestment cost minimisation
dc.subjectCIGRE-32 electric power system
dc.subjectOptimisation solver CPLEX
dc.subjectAMPL
dc.titleReactive power planning under conditional-value-at-risk assessment using chance-constrained optimisation
dc.typeOtro


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