基于多参数融合的输电线路覆冰增长模型研究及风险预警
Research on Ice-Covered Growth Model of Transmission Line Based on Multi-Parameter Fusion and Risk Warning
DOI: 10.12677/SG.2019.96026, PDF,  被引量   
作者: 周双勇, 李汶江, 陈 铁, 戴佳利, 易建行：国网重庆市电力公司检修分公司，重庆；韦文军：重庆能吉科技有限公司，重庆；李明明：重庆大学电气工程学院，重庆
关键词: 架空线路；覆冰；弧垂；风险预警；Transmission Line； Ice； Sag； Risk Warning
摘要: 重庆电网承担着超特高压“西电东送”的重要任务，辖区汇集了复奉、锦苏直流和500千伏张隆、张长等重要的输电通道，地处武隆车盘山高海拔地区，是冬季极端天气多发区域，一向是度冬的重点区域。因重庆周边地形环境复杂，巡检工作十分困难，因此结合在线监测装置和微气象技术，准确预测线路覆冰厚度和评估失效概率是十分必要的。本文根据微气象监测装置，采用最优组合自动分析、优化，建立了多参数融合的输电线路覆冰载荷计算模型，通过对荷载和净空安全裕度计算进行输电线路风险评估，最后通过重庆地区某实际案例进行反演，验证所述方法的可行性和有效性。本文所述方法有助于运行人员及时校核输电线路运行状态，防范因导线覆冰和净空安全裕度过小导致的线路故障。
Abstract: Chongqing Power Grid undertakes the important task of ultra-high voltage “West-to-East Power Transmission”. The area is divided into important transmission channels such as Fufeng, Jinsu DC and 500 kV Zhanglong and Zhangchang. It is located in the high altitude area of Chepan Mountain in Wulong. It is a region with extreme weather in winter and has always been a key area for winter. Due to the complex terrain surrounding Chongqing, the inspection work is very difficult. Therefore, it is necessary to accurately predict the thickness of the line ice and evaluate the failure probability by combining online monitoring devices and micro-meteorological technologies. According to the micro-meteorological monitoring device, the optimal combination automatic analysis and optimization is used to establish a multi-parameter fusion transmission line ice load calculation model. The transmission line risk assessment is carried out by calculating the load and clearance safety margins, and finally the inversion of an actual case in Chongqing is carried out to verify the feasibility and effectiveness of the method. The method described in this paper helps the operator to check the running status of the transmission line in time to prevent line faults caused by the wire icing and the clearance safety margin being too small.
文章引用：周双勇, 韦文军, 李汶江, 李明明, 陈铁, 戴佳利, 易建行. 基于多参数融合的输电线路覆冰增长模型研究及风险预警[J]. 智能电网, 2019, 9(6): 236-243. https://doi.org/10.12677/SG.2019.96026

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