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Abstract: Maintaining power system security is one of the challenging tasks for the power system engineers. Contingency analysis is one of the important aspects of power system security assessment. Various probable outages are analyzed in CA. It is being widely used to predict the effect of outages like failures of equipment, transmission line etc. and to take necessary actions to keep the power system secure and reliable. With the help of Fast Decoupled Load Flow (FDLF), the PIP and PIV have been calculated in MI-POWER environment and contingency ranking is made. Further the contingency selection has been done by using Radial Basis Function (RBF) Neural Network in MATLAB environment. The effectiveness of the method has been tested on IEEE-14 Bus test systems