Comprehensive Monitoring Cycle Classification Method of Centralized Monitoring in Substation Based on Competitive Neural Network
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Comprehensive Monitoring Cycle Classification Method of Centralized Monitoring in Substation Based on Competitive Neural Network
Vol. 43, Issue 6, Pages: 11-15(2020)
作者机构:
国网天津市电力公司城西供电分公司
作者简介:
基金信息:
DOI:
CLC:TM732
Published:2020
稿件说明:
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ZHANG YUZE. Comprehensive Monitoring Cycle Classification Method of Centralized Monitoring in Substation Based on Competitive Neural Network[J]. 2020, 43(6): 11-15.
DOI:
ZHANG YUZE. Comprehensive Monitoring Cycle Classification Method of Centralized Monitoring in Substation Based on Competitive Neural Network[J]. 2020, 43(6): 11-15.DOI:
Comprehensive Monitoring Cycle Classification Method of Centralized Monitoring in Substation Based on Competitive Neural Network
An experimental research platform for the impact of mountain fire on safe operation of 10 k V and 35 k V transmission lines is designed and established. Pine
straw and shrubs are burnt to simulate the mountain fire fault of 10 kV and 35 kV transmission lines
and the variation characteristics of three-phase voltage
conductor to ground leakage current and zero-sequence voltage of transmission lines under mountain fire are studied. The effects of flame height and flame width on the insulation of 10 k V transmission line are studied and analyzed too. The test results show that mountain fire can cause single-phase high resistance grounding and phase to phase short circuit of transmission line
which are the results of the joint action of voltage level
distance to ground
flame height
flame width and other factors
and whether the flame bridges the air gap is an important factor affecting air insulation. The phenomena that the transmission line discharges to the flame and the voltage of one phase affected by the flame is lower than that of other phases during the test are studied
and the causes and laws of mountain fire on 10 k V and 35 k V transmission lines are obtained.