Fault Point Detection for Recovery Planning of Resilient Grid

TL;DR

This paper introduces PACEM, a method to estimate travel costs between failure points in power grids using pole sensor data, aiming to improve recovery planning and reduce outage durations during natural disasters.

Contribution

The paper presents PACEM, a novel pole-aware cost estimation method that leverages sensor and road data to optimize recovery planning in resilient power grids.

Findings

Recovery time reduced by 28% in the target area.

Effective use of pole tilt and direction data for cost estimation.

Improved resilience in power grid recovery planning.

Abstract

Large-scale meteorological disasters are increasing around the world, and power outage damage by natural disaster such as typhoons and earthquakes is increasing in Japan as well. Corresponding to the need of reduction of economic losses due to power outages, we are promoting research of resilient grids that minimizes power outage duration. In this report, we propose PACEM (Poles-Aware moving Cost Estimation Method) for determining travel costs between failure points based on the tilt angle and direction of electric poles obtained from pole-mounted sensors and road condition data. Evaluation result shows that the total recovery time can be reduced by 28% in the target area.