CHEN Bin, SHU Shengwen, HUANG Haikun, et al. Review on Research Progress in Early Warning Methods for Typhoon Disaster of Transmission and Distribution Lines[J]. High voltageapparatus, 2018, 54(7): 64-72.
CHEN Bin, SHU Shengwen, HUANG Haikun, et al. Review on Research Progress in Early Warning Methods for Typhoon Disaster of Transmission and Distribution Lines[J]. High voltageapparatus, 2018, 54(7): 64-72. DOI: 10.13296/j.1001-1609.hva.2018.07.007.
Review on Research Progress in Early Warning Methods for Typhoon Disaster of Transmission and Distribution Lines
Typhoon disaster is one of the main reasons for the failure of coastal transmission and distribution lines
early warning of disasters is an important link of typhoon resistance and disaster reduction for the transmission anddistribution lines. At present
the adopted early warning methods of resisting severe typhoon at home and abroad
gen-erally only considered the path and wind range of typhoon. Because of the lack of a systematic description of the ty-phoon disaster chain for the transmission and distribution lines
the pertinence and effectiveness of early warning areobviously insufficient. Therefore
it is necessary to carry out in-depth studies on the early warning technology of re-sisting severe typhoon for coastal transmission and distribution lines. Firstly
early warning system of the typhoon di-saster for transmission and distribution lines based on the disaster chain is constructed. Then
the research progress-es early warning methods of resisting severe typhoon for transmission and distribution lines are summarizes fromthree aspects
including causality
statistics and mixed early warning
and the advantages and disadvantages of vari-ous methods are reviewed. Finally
an early warning method of resisting severe typhoon for transmission and distribu-tion lines based on grid
big data and artificial intelligence is proposed
also the implementation principles and keytechnologies of this method are discussed in detail. It is expected to provide a new idea for early warning of typhoondisaster in power grid.