Estimation of available transfer capability using soft computing techniques

In today´s electric power industry, accurate and flexible information is needed to provide nondiscriminatory access to all market participants. This paper primarily calculates the available transfer capability (ATC) based on fuzzy set theory for Repeated Power flow(RPF),there by capturing uncertainty. Assuming that uncertainty involved are estimated, a fuzzy model is formulated in which uncertainty parameters affecting the ATC are regarded as fuzzy variables. The purpose of this paper is to calculate ATC using Continuation Power Flow (CPF) and then compare the result with the Repeated Power Flow (RPF).To investigate into the potentials of fuzzy logic and the way it can be applied for ATC determination. To identify the most suitable one from among the widely used fuzzy models for ATC determination. To develop a novel method that would adopt fuzzy logic for determining ATC involving minimum number of input variables in a large power system is fuzzy for repeated power flow (FRPF) algorithm that can handle uncertainties in load parameters and bus injections as well.. As such the solution will assist in providing additional information on the actual ability of the network to a system operator. The viability of the proposed method would be verified with the one obtained from the Repeated power flow (RPF) in the IEEE-24 RTS bus system.