Automation of Electric Power SystemsVol. 40, Issue 3, Pages: 14-20(2016)
作者机构:
南京理工大学自动化学院,江苏省,南京市,210094
作者简介:
基金信息:
DOI:
CLC:
Published:2016
稿件说明:
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WU Yongjun. [J]. Automation of electric power systems, 2016, 40(3): 14-20.
DOI:
WU Yongjun. [J]. Automation of electric power systems, 2016, 40(3): 14-20.DOI:
山火灾害对电网故障率的时空影响
摘要
根据山火造成电力设备故障的途径和机理
建立输电线在山火灾害下的故障率修正模型
提出按电网故障率的时空分布预警防御算法。将山火信息与地理环境及气象信息相结合
预测山火的蔓延行为;动态评估线路闪络概率
预报输电线故障率的时空分布。使风险越大的潜在故障得到越高的关注度
提高电网停电防御系统对山火灾害的预警能力。
Abstract
According to the ways and mechanisms of electrical equipment faults caused by forest fire
a modified model of transmission line fault probability is developed. And an early-warning defense method based on the spatial-temporal distribution of power grid fault probability is proposed. Firstly
by combining forest fire information
geographic environments and meteorological information
the method is able to predict the forest fire behaviors and dynamically assess the transmission line flashover probability. Then
the spatial-temporal distribution fault probability can be obtained so that the higher the risk of potential faults is
the greater concern they will receive
thus raising the early-warning ability of power grids to prevent the forest fire. This work is jointly supported by National Basic Research Program of China(973 Program)(No. 2013CB228204)
the Key Program of National Natural Science Foundation of China(No. 61533010)
China-Thailand Cooperation Fund Project(No. 5151101161)
and Yunnan Power Grid Company(No. YDTZ-F2014-105).
NARI Group Corporation(State Grid Electric Power Research Institute)
NARI Group Corporation(State Grid Electric Power Research Institute)
Department of Automation,Nanjing University of Science and Technology
Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control Under Ministry of Education, North China Electric Power University