Large Network Steady-State Analysis

2022-12-02

This course focuses on basic mathematical tools to study large scale networks understeady-state assumptions, such as the sparse matrix technique, the Wood burymatrix identity, update of factor tables after small disturbance, network partition and equivalence, and parallel and distributed computations. Powernetworks will be used as examples in many cases but methodologies presented in this course are applicable to a variety of engineering problems.