Voltage Stability Constrained Atc Computations in Deregulated Power System Using Novel Technique

The voltage stability constrained Available Transfer Capability (ATC) computations are obtained on IEEE 9-bus by running load flow until the voltage collapse point is achieved by enhancing the load in steps with constant power factor. These results are used to train the Neural Network by using Radial Basis Function Neural Network (RBFN) technique. The comparative results of convergence method, L-index method and RBFN network are presented in this study. The results are certainly useful in an online environment of deregulated power system in view of computational simplicity, time and computer memory.