This paper presents a survey of the impact of largescale wind power plants on the identification of Voltage Control Areas (VCAs). A Monte-Carlo based framework is proposed for the probabilistic analysis of variations in the arrangement of the VCAs, the critical buses as well as of estimation of the statistical properties of the loading margin. Test results, performed on the IEEE 39-bus system, showed that, although the loading margin could be increased, some adverse implications on the overall reactive power support may entail an increased risk of voltage collapse. Index Terms--Continuation power flow, load flow, modal analysis, Monte Carlo method, voltage control areas, voltage stability, wind power plant modeling. worked in Ecuador, in the fields of industrial control systems and electrical distribution networks operation and planning. Currently, he is a research associate at the Institute of Electrical Power Systems, University of Duisburg-Essen. His current research interests include power system stability and control, system identification, power system planning, probabilistic and artificial intelligence methods, heuristic optimization, FACTS devices and wind power. Santiago P. Torres (S'05, M'07, SM'10) received the B.S. from the University of Cuenca, in Ecuador, in 1998, and the Ph.D. degree from the Institute of Electrical Energy of the National University of San Juan in Argentina, in 2007. He is a Post-Doctoral Fellow at the Power Systems Department, University of Campinas, Brazil. His research interests are operation and planning of electric power systems, computational intelligence and optimization applications in power systems.