Advisory Tool for Managing Failure Cascades in Systems with Wind Power

TL;DR

This paper presents an advisory tool that assesses and mitigates failure cascades in wind power systems by evaluating critical failures and proposing corrective actions using advanced modeling on standard power system benchmarks.

Contribution

It introduces a novel model combining Monte Carlo, convex optimization, and adaptive selection to evaluate and improve system resilience against wind power reductions.

Findings

Wind reductions significantly impact system resilience.

Corrective actions can effectively mitigate failure cascades.

The model performs well on IEEE benchmark systems.

Abstract

This paper concerns the resilience of systems with wind power upon wind reduction by evaluating the potential of corrective actions, such as generation and load dispatch, on minimizing the effects of transmission line failures. Three functions (grid, consumer-centric loss, and resilience impact) are used to statistically evaluate the criticality of initial contingent failures and wind reductions. Our model is learned with Monte Carlo, convex optimization, and adaptive selection, illustrated on the IEEE-30 and IEEE-300 bus systems with both AC and DC models. We highlight the impact of wind reductions and propose physically implementable solutions.