Reactive power planning under conditional-value-at-risk assessment using chance-constrained optimisation

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidad de Castilla–La Mancha
dc.creatorLópez, Julio [UNESP]
dc.creatorContreras, Javier
dc.creatorMantovani, Jose R. S. [UNESP]
dc.date2015-10-21T21:16:20Z
dc.date2015-10-21T21:16:20Z
dc.date2015-02-19
dc.date.accessioned2023-09-12T06:56:14Z
dc.date.available2023-09-12T06:56:14Z
dc.identifierhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7047291
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.identifier10.1049/iet-gtd.2014.0224
dc.identifierWOS:000350148600003
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8778858
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.descriptionE.T.S. de Ingenieros Industriales, Universidad de Castilla–La Mancha, 13071 Ciudad Real, Spain
dc.descriptionDepartamento de Engenharia Elétrica, Faculdade de Engenharia de Ilha Solteira, UNESP–Universidade Estadual Paulista, Ilha Solteira, São Paulo, Brazil
dc.descriptionFAPESP: 2010/16728-5
dc.descriptionFAPESP: 2012/21570-7
dc.format231-240
dc.languageeng
dc.publisherInst Engineering Technology-iet
dc.relationIet Generation Transmission &distribution
dc.relation2.618
dc.relation0,907
dc.rightsAcesso restrito
dc.sourceWeb of Science
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.typeArtigo


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