López, Julio [UNESP]Contreras, JavierMantovani, Jose R. S. [UNESP]2015-10-212015-10-212015-02-19Iet Generation Transmission &distribution. Hertford: Inst Engineering Technology-iet, v. 9, n. 3, p. 231-240, 2015.1751-8687http://hdl.handle.net/11449/129519This 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.231-240engRisk managementLoad sheddingPower transformersMinimisationInvestmentReactive power planningConditional-value-at-risk assessmentChance-constrained optimisationChance-constrained programmingRandom equivalent availabilityReactive power sourcesConfidence levelUnder-load tap-changing transformersInteger variablesReactive demandsProbability distribution functionsMathematical formulationTwo-stage stochastic modelMultiperiod mixed-integer convex modelRisk mitigationInvestment cost minimisationCIGRE-32 electric power systemOptimisation solver CPLEXAMPLArtigo10.1049/iet-gtd.2014.0224WOS:000350148600003Acesso restrito