Towards a Universal Approach for Identifying Cascading Failures of Power Grids
It addresses the challenge of identifying cascading failure triggers in power systems, which is critical for grid reliability, but the approach is demonstrated only on a standard test system.
This paper develops a universal mathematical framework for identifying initial contingencies that cause worst-case cascading failures in power grids, using the Jacobian-Free Newton-Krylov method to reduce computational burden. Validation on the IEEE 118-bus system demonstrates its effectiveness.
Due to the evolving nature of power systems and the complicated coupling relationship of power devices, it has been a great challenge to identify the contingencies that could trigger cascading blackouts of power systems. This paper aims to develop a universal approach for identifying the initial disruptive contingencies that can result in the worst-case cascading failures of power grids. The problem of contingency identification is formulated in a unified mathematical framework, and it can be solved by the Jacobian-Free Newton-Krylov (JFNK) method in order to circumvent the Jacobian matrix and relieve the computational burden. Finally, numerical simulations are carried out to validate the proposed identification approach on the IEEE $118$ Bus System.