Abstract
An iterative distributed algorithm to achieve the real-time Available Transfer Capability (ATC) assessment is proposed in this chapter. Mathematically, ATC assessment can be formulated as an optimization problem formed as a particular Optimal Power Flow (OPF) problem. This task can be performed in the decomposition-based iterative methods linked to constrained augmented Lagrangian approaches. The proposed work is designed on the three distributed frameworks, including (i) Alternative Direction Multiplier Method (ADMM), (ii) Auxiliary Problem Principle Method (APPM), and (iii) Predictor-Corrector Proximal Multiplier (PCPM) approach for the realtime ATC estimation. The proposed distributed algorithm is designated under the partitioned system’s efficient distributed computation architecture, coordinating between boundary and associated non-overlapping subsystems. The numerical simulations of ATC assessment are conducted in the proposed iterative distributed algorithm under the three IEEE test systems, and the accuracies and the effectiveness of the proposed distributed algorithm are validated.