| 基于加权马氏距离型TOPSIS算法的10 kV配电网雷害风险评估 |
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| 引用本文： | 杜岩,谢从珍,李彦丞,谢心昊,栾乐,罗思敏. 基于加权马氏距离型TOPSIS算法的10 kV配电网雷害风险评估[J]. 中国电力, 2022, 55(4): 108-116. DOI: 10.11930/j.issn.1004-9649.202107085 |
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| 作者姓名： | 杜岩 谢从珍 李彦丞 谢心昊 栾乐 罗思敏 |
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| 作者单位： | 1. 华南理工大学 电力学院，广东 广州 510641;2. 广东电网有限责任公司广州供电局 ，广东 广州 510013 |
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| 基金项目： | 国家高技术研究发展计划(863 计划)资助项目(2015 AA050201); 广东电网广州供电局科技项目(GZHKJXM20180068)。 |
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| 摘 要： | 10 kV配电网架空线路绝缘水平较低，雷雨天气下雷击跳闸事故频发，由于大规模线路结构模型较为复杂等原因，基于雷击跳闸率等物理模型的风险评估方法在电网层面较难实现。同时，配电网缺少监测装置，人工记录的方式致使数据质量欠佳，严重影响模型计算的准确性。提出一种10 kV配电网雷害风险评估方法，基于线路运行、气象环境等多维数据，可在低质量数据条件下进行大规模配电网线路雷害风险评估。以线路所在地理网格为评估单元，从气象、线路走廊环境及线路本体特征参数3个维度提取10项配电网架空线路雷击跳闸风险指标，并量化风险指标以及雷击跳闸风险计算规则，使用加权马氏距离型TOPSIS算法构建10 kV配电网雷害风险评估体系，对风险进行分级。利用广州市10 kV配电网架空线路历史跳闸统计数据对风险评估结果进行验证，证明了评估方法的有效性。
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| 关 键 词： | 组合赋权 加权马氏距离 TOPSIS 风险评估 雷击跳闸 |
| 收稿时间： | 2021-07-19 |
| 修稿时间： | 2021-11-05 |
Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance |
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| DU Yan,XIE Congzhen,LI Yancheng,XIE Xinhao,LUAN Le,LUO Simin. Lightning Risk Assessment of 10 kV Distribution Line Based on TOPSIS Algorithm Improved by Weighted Mahalanobis Distance[J]. Electric Power, 2022, 55(4): 108-116. DOI: 10.11930/j.issn.1004-9649.202107085 |
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| Authors: | DU Yan XIE Congzhen LI Yancheng XIE Xinhao LUAN Le LUO Simin |
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| Affiliation: | 1. School of Electric Power, South China University of Technology, Guangzhou 510641, China;2. Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou 510013, China |
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| Abstract: | The insulation of overhead line in 10 kV distribution network is unsatisfied and lightning tripping accidents occur frequently in thunderstorm weather. Due to the complexity of large-scale line model construction, it is difficult to realize the risk assessment at the grid level based on physical model, such as lightning tripping rate. Besides, due to the lack of monitoring devices in the distribution network, the data quality is undesirable, which seriously affects the calculation accuracy of the model. In this paper, a lightning risk assessment method for 10 kV distribution network was proposed. Based on multi-dimensional data such as line operation, and meteorological environment information, the lightning assessment for large-scale distribution network lines was carried out under the condition of low quality data. Setting the geographical grid as evaluation unit, this paper extracted ten lightning-strike risk indexes from three dimensions, including meteorological, corridor environment, and characteristic parameters of line. Then TOPSIS algorithm improved by weighted Mahalanobis distance was used to build the lightning risk assessment system of 10 kV distribution network, and the risk was scaled. Finally, risk assessment results were verified by historical trip statistics in Guangzhou 10 kV distribution network, and the effectiveness of the assessment method was proved. |
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| Keywords: | combination weight weighted Mahalanobis distance TOPSIS risk assessment lightning strike tripping |
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