基于山火时空特征的林区输电通道风险评估
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(1.输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆400044; 2.西昌卫星发射中心,四川 西昌 615000)

作者简介:

熊小伏(1962—),男,博士,教授,博士生导师,主要研究方向为智能电网、电力系统保护与控制、电力系统风险评估及气象灾害预警;E-mail:cquxxf@vip.sina.com
曾 勇(1980—),男,硕士研究生,研究方向为电力系统风险评估及气象灾害预警;E-mail:cquzengyong@ foxmail.com
王 建(1986—),男,博士,讲师,主要研究方向为电力系统风险评估及气象灾害预警。E-mail:wangrelay@ foxmail.com

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基金项目:

国家重点研发计划智能电网技术与装备重点专项(2016YFB0900600);国家电网公司重大基础前瞻科技项目(SG20141187)


Risk assessment of power transmission channels in forest regions based on spatial-temporal features of forest fire
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(1. State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China;2. Xichang Satellite Launching Center, Xichang 615000, China)

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    摘要:

    穿过林区的供电线路所处地理环境复杂,输电通道山火灾害频发。为研究山火条件下林区输电通道风险评估问题,对四川省凉山州地区某重要负荷的两条输电通道所经过的多个地区的气象数据按时间顺序进行统计。利用森林火险气象等级计算山火发生概率,利用长空气间隙击穿理论计算山火条件下输电线路故障概率,进而建立了具有时空分布特征的山火条件下输电通道风险评估模型,并用算例验证了所提方法的有效性。还对一条输电通道故障,潮流转移至另一条输电通道后的线路运行情况进行了分析,并根据结果提出了相应的降风险措施。

    Abstract:

    The geographical environment around power transmission channels which pass through the forest is complicated and forest fire occurs frequently. In order to study the problem of risk assessment of power transmission channels in forest region, meteorological data of multiple areas in Liangshan Autonomous Prefecture, Sichuan Province where two power transmission channels of an important load pass through is collected and analyzed according to the chronological order. The occurrence probability of forest fire is calculated by forest fire danger weather ratings, and the fault probability of transmission lines under forest fire condition is calculated by breakdown characteristics of long air gaps theory. The temporal and spatial risk evaluation model of power transmission channels under forest fire condition is built. The validity of the proposed method is verified through a case analysis. Besides, the operation conditions of transmission lines are analyzed after power flow transferring due to one power transmission channel breaks down. Finally, some risk-mitigation measures are proposed according to the results. This work is supported by Key Project of Smart Grid Technology and Equipment of National Key Research and Development Plan of China (No. 2016YFB0900600) and Major and Basic Project of State Grid Foresight Science and Technology (No. SG20141187).

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熊小伏,曾勇,王建,等.基于山火时空特征的林区输电通道风险评估[J].电力系统保护与控制,2018,46(4):1-9.[XIONG Xiaofu, ZENG Yong, WANG Jian, et al. Risk assessment of power transmission channels in forest regions based on spatial-temporal features of forest fire[J]. Power System Protection and Control,2018,V46(4):1-9]

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  • 收稿日期:2017-01-19
  • 最后修改日期:2017-03-26
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  • 在线发布日期: 2018-03-06
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