Proactive Posturing of Large Power Grid for Mitigating Hurricane Impacts

TL;DR

This paper proposes a proactive power grid posturing strategy informed by hurricane modeling to improve emergency response and reduce service disruptions during hurricanes.

Contribution

It introduces a novel SCOPF formulation that integrates cross-domain hurricane data to optimize grid resilience against hurricanes.

Findings

Simulation with real-world data validates the approach

Potential to enhance grid operator decision-making

Demonstrates effectiveness in hurricane impact mitigation

Abstract

In the past decade, natural disasters such as hurricanes have challenged the operation and control of U.S. power grid. It is crucial to develop proactive strategies to assist grid operators for better emergency response and minimized electricity service interruptions; the better the grid may be preserved, the faster the grid can be restored. In this paper, we propose a proactive posturing of power system elements, and formulate a Security-Constrained Optimal Power Flow (SCOPF) informed by cross-domain hurricane modeling as well as its potential impacts on grid elements. Simulation results based on real-world power grid and historical hurricane event have verified the applicability of the proposed optimization formulation, which shows potential to enable grid operators and planners with interactive cross-domain data analytics for mitigating hurricane impacts.