Wildfires have become increasingly frequent and severe,posing significant threats to the resilience of power systems.Wildfire-induced power outages disrupt essential services,triggering cascading social impacts that p...Wildfires have become increasingly frequent and severe,posing significant threats to the resilience of power systems.Wildfire-induced power outages disrupt essential services,triggering cascading social impacts that pose significant risks to system security and profound threats to human life.Therefore,it is imperative to analyze the impact of wildfires on the resilience of power systems and propose innovative risk assessment and resilience enhancement measures that address the challenges posed by wildfires from both technical and human-centric perspectives.This paper first reviews the impacts of wildfires on power systems and the corresponding risk assessment methods.Subsequently,a review is also conducted on measures for enhancing the multiphase and multi-dimensional resilience of power systems in the face of wildfires(encompassing prevention,emergency response,and post-disaster recovery),critically assessing their effectiveness and inherent limitations.In response to their limitations,dynamic risk assessment frameworks in power systems are proposed,with a focus on social resilience,alongside discussions on the potential applications of emerging technologies to enhance the resilience of power systems against wildfire disasters.展开更多
Continuous power supply of urban power networks(UPNs)is quite essential for the public security of a city because the UPN acts as the basis for other infrastructure networks.In recent years,UPN is threatened by extrem...Continuous power supply of urban power networks(UPNs)is quite essential for the public security of a city because the UPN acts as the basis for other infrastructure networks.In recent years,UPN is threatened by extreme weather events.An accurate modeling of load loss risk under extreme weather is quite essential for the preventive action of UPN.Con-sidering the forecast intensity of a typhoon disaster,this paper proposes analytical modeling of disaster-induced load loss for preventive allocation of mobile power sources(MPSs)in UPNs.First,based on the topological structure and fragility model of overhead lines and substations,we establish an analytical load loss model of multi-voltage-level UPN to quantify the spatial dis-tribution of disaster-induced load loss at the substation level.Second,according to the projected load loss distribution,a preventive allocation method of MPS is proposed,which makes the best use of MPS and dispatches the limited power supply to most vulnerable areas in the UPN.Finally,the proposed meth-od is validated by the case study of a practical UPN in China.展开更多
基金supported by the Hong Kong Research Grant Council for the Research Project under Grant 15205424.
文摘Wildfires have become increasingly frequent and severe,posing significant threats to the resilience of power systems.Wildfire-induced power outages disrupt essential services,triggering cascading social impacts that pose significant risks to system security and profound threats to human life.Therefore,it is imperative to analyze the impact of wildfires on the resilience of power systems and propose innovative risk assessment and resilience enhancement measures that address the challenges posed by wildfires from both technical and human-centric perspectives.This paper first reviews the impacts of wildfires on power systems and the corresponding risk assessment methods.Subsequently,a review is also conducted on measures for enhancing the multiphase and multi-dimensional resilience of power systems in the face of wildfires(encompassing prevention,emergency response,and post-disaster recovery),critically assessing their effectiveness and inherent limitations.In response to their limitations,dynamic risk assessment frameworks in power systems are proposed,with a focus on social resilience,alongside discussions on the potential applications of emerging technologies to enhance the resilience of power systems against wildfire disasters.
基金supported by National Natural Science Foundation of China(No.52307094).
文摘Continuous power supply of urban power networks(UPNs)is quite essential for the public security of a city because the UPN acts as the basis for other infrastructure networks.In recent years,UPN is threatened by extreme weather events.An accurate modeling of load loss risk under extreme weather is quite essential for the preventive action of UPN.Con-sidering the forecast intensity of a typhoon disaster,this paper proposes analytical modeling of disaster-induced load loss for preventive allocation of mobile power sources(MPSs)in UPNs.First,based on the topological structure and fragility model of overhead lines and substations,we establish an analytical load loss model of multi-voltage-level UPN to quantify the spatial dis-tribution of disaster-induced load loss at the substation level.Second,according to the projected load loss distribution,a preventive allocation method of MPS is proposed,which makes the best use of MPS and dispatches the limited power supply to most vulnerable areas in the UPN.Finally,the proposed meth-od is validated by the case study of a practical UPN in China.
