Lopez, Julio C. [UNESP]Mantovani, J. R. S. [UNESP]Contreras Sanz, JavierMunoz, Jose I.IEEE2014-12-032014-12-032013-01-012013 IEEE Power and Energy Society General Meeting (pes). New York: IEEE, 5 p., 2013.1944-9925http://hdl.handle.net/11449/113624In this paper, the optimal reactive power planning problem under risk is presented. The classical mixed-integer nonlinear model for reactive power planning is expanded into two stage stochastic model considering risk. This new model considers uncertainty on the demand load. The risk is quantified by a factor introduced into the objective function and is identified as the variance of the random variables. Finally numerical results illustrate the performance of the proposed model, that is applied to IEEE 30-bus test system to determine optimal amount and location for reactive power expansion.5engMean-variancereactive power planningstochastic programmingtwo - stageuncertaintyTrabalho apresentado em eventoWOS:000331874300045Acesso aberto0614021283361265