Abstract
In nowadays deregulated market, available transfer capability (ATC) is a measure of the network capability for further commercial activity above the already committed uses. This paper deals with the development of an interior point nonlinear programming methodology for evaluating dynamic ATC. By establishing a novel method for integrating transient stability constraints into conventional steady-state ATC problem, the dynamic ATC problem is successfully formulated as an OPF-based optimization problem. Then, an interior point nonlinear programming algorithm is used to solve the formed dynamic ATC optimization problem. The method has been implemented and tested on two IEEJ model systems (WEST10 and WEST30). In both systems, satisfactory results are obtained.
