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Smart Grid 2024
基于数值天气预报修正的配电网带电作业安全评估
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Abstract:
配电网带电作业是指线路配电设备带电进行检修,在这种高风险环境下工作,作业计划需要根据气象条件等不可控因素灵活调整,建立科学可靠的配电网微气象带电作业安全评估方法对保证带电作业环节安全、提高人员调度效率和作业效率至关重要。本文依据配网带电作业特点,确认配网微气象带电作业安全评价指标;基于评价指标层次结构采用G1赋权法确定气温、相对湿度等指标的权重;划分带电作业安全等级,结合半梯形和三角形函数构建各气象指标隶属度函数,并基于数值预报修正数据,对带电作业安全进行评估,确保带电作业安全,为未来的作业计划和决策提供可靠的参考依据。
Live working in distribution networks refers to the maintenance of live distribution equipment on power lines. Working in such a high-risk environment requires flexible adjustments to the homework plan based on uncontrollable factors such as meteorological conditions. Establishing a scientifically reliable safety assessment method for micro meteorological live working in distribution networks is crucial for ensuring the safety of live working processes, improving personnel scheduling efficiency, and operational efficiency. Based on the characteristics of live working in distribution networks, this article confirms the safety evaluation indicators for micro meteorological live working in distribution networks; Using the G1 weighting method based on the hierarchical structure of evaluation indicators to determine the weights of indicators such as temperature and relative humidity; Divide the safety level of live working, construct membership functions for various meteorological indicators based on semi trapezoidal and triangular functions, and evaluate the safety of live working based on numerical forecast correction data, ensuring the safety of live working and providing reliable reference for future work plans and decisions.
[1] | 国家电网公司. 供电企业安全风险评估规范[M]. 北京: 中国电力出版社, 2009. |
[2] | 赵伍, 薛警卫, 赵威. 解析10kV配网带电作业安全防护措施[J]. 山东工业技术, 2018(23): 179. |
[3] | 杨慎涛, 陈劲松, 袁林. 基于G1赋权法的配电网带电作业安全综合评估[J]. 四川电力技术, 2020, 43(2): 91-94. |
[4] | 徐斌. 10kV配网旁路带电作业风险与预防控制分析[J]. 电工技术, 2022(6): 166-167, 170. |
[5] | 彭勇, 雷兴列, 方玉群, 等. 特高压直流输电线路不停用再启动功能情况下的带电作业安全性分析[J]. 四川电力技术, 2019, 42(4): 85-89. |
[6] | 张昊. 电网运行安全风险量化评估软件实现[J]. 云南电力技术, 2017, 45(3): 43-45. |
[7] | Benjamin, S.G., Brown, J.M., Brunet, G., Lynch, P., Saito, K. and Schlatter, T.W. (2019) 100 Years of Progress in Forecasting and NWP Applications. Meteorological Monographs, 59, 13.1-13.67. https://doi.org/10.1175/amsmonographs-d-18-0020.1 |
[8] | 谢铖. 基于G1赋权法的配网带电作业安全评估方法[J]. 自动化应用, 2022(12): 150-152. |
[9] | 万静, 孟凡兰. 基于AHP和BP神经网络纵向结合的水利施工安全评估算法[J]. 四川水泥, 2022(7): 43-45. |
[10] | 王凯, 晋民杰. 基于模糊故障树的矿井提升制动系统安全评估[J]. 太原科技大学学报, 2019, 40(6): 467-471. |
[11] | 李军, 李继光, 姚建刚, 等. 属性识别和G1熵权法在电能质量评价中的应用[J]. 电网技术, 2009, 33(14): 56-61. |
[12] | 姚升保, 徐敏. 群组决策中三角模糊数互补判断矩阵的相容性及方案排序研究[J]. 中国管理科学, 2012, 20(5): 152⁃156. |
[13] | 李振华, 丁春. 基于改进模糊层次分析法的环境空气质量综合评价[J]. 环境保护前沿, 2021, 11(6): 1238-1245. |
[14] | 樊梦佳, 袁兴中, 祝慧娜, 等. 基于三角模糊数的河流沉积物中重金属污染评价模型[J]. 环境科学学报, 2010, 30(8): 1700-1706. |