TY - JOUR
T1 - Characterizing Probability of Wildfire Ignition Caused by Power Distribution Lines
AU - Muhs, John W.
AU - Parvania, Masood
AU - Nguyen, Hieu T
AU - Palmer, John A.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - This paper proposes a modeling approach for characterizing the probability of wildfire ignition caused by faults on power distribution systems. The proposed model serves as a starting point in research literature to illustrate, from an analytical perspective, the many factors that influence wildfire ignitions in power distribution systems. This paper presents the series of events that leads to power-system-related wildfire ignitions, and characterizes the wildfire ignition probability as a combination of the probability that a fault occurs along a power distribution line segment, and the probability that the fault results in the sustained ignition of a vegetation fuel bed surrounding the line. The proposed model integrates a variety of data including environmental conditions, power system protection settings, and power system line flows. A case study is performed on a test 33-bus distribution system using observed historical weather data from a high-threat fire district in California. The California case study is utilized to investigate the effects of three primary factors (wind speed, line congestion, and protection settings) on wildfire ignition probability.
AB - This paper proposes a modeling approach for characterizing the probability of wildfire ignition caused by faults on power distribution systems. The proposed model serves as a starting point in research literature to illustrate, from an analytical perspective, the many factors that influence wildfire ignitions in power distribution systems. This paper presents the series of events that leads to power-system-related wildfire ignitions, and characterizes the wildfire ignition probability as a combination of the probability that a fault occurs along a power distribution line segment, and the probability that the fault results in the sustained ignition of a vegetation fuel bed surrounding the line. The proposed model integrates a variety of data including environmental conditions, power system protection settings, and power system line flows. A case study is performed on a test 33-bus distribution system using observed historical weather data from a high-threat fire district in California. The California case study is utilized to investigate the effects of three primary factors (wind speed, line congestion, and protection settings) on wildfire ignition probability.
KW - distribution systems
KW - line fault
KW - power system resilience
KW - weather-related outage
KW - Wildfire ignition
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098775194&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85098775194&origin=inward
U2 - 10.1109/TPWRD.2020.3047101
DO - 10.1109/TPWRD.2020.3047101
M3 - Article
SN - 0885-8977
VL - 36
SP - 3681
EP - 3688
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 6
ER -