基于DBO-SVM直升机大型吊篮相地间隙操作冲击放电电压的预测

刘凯; 徐园红; 彭勇; 吴田; 吴升泽; 王铭心; 冯兴龙; 唐生燚

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基于DBO-SVM直升机大型吊篮相地间隙操作冲击放电电压的预测

更新时间：2025-04-18

- 基于DBO-SVM直升机大型吊篮相地间隙操作冲击放电电压的预测
- Prediction of switching impulse discharge voltage for helicopter Large hanging baskets phase-ground clearance based on DBO-SVM
- 默认刊物名称 2025年
- 作者机构：
  
  1.中国电力科学研究院有限公司,湖北省武汉市430072
  2.三峡大学电气与新能源学院,湖北省宜昌市443002
  3.湖北省输电线路工程技术研究中心(三峡大学),湖北省宜昌市443002
- 作者简介：
- 基金信息：
  
  国家自然科学基金青年基金项目(51807110)
- DOI：
  中图分类号：
- 收稿日期：2024-11-18，
  
  修回日期：2024-12-22，
  
  录用日期：2024-12-30，
- 稿件说明：
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刘凯, 徐园红, 彭勇, 等. 基于DBO-SVM直升机大型吊篮相地间隙操作冲击放电电压的预测[J/OL]. 默认刊物名称, 2025.

LIU Kai, XU Yuanhong, PENG Yong, et al. Prediction of switching impulse discharge voltage for helicopter Large hanging baskets phase-ground clearance based on DBO-SVM[J/OL]. Moren journal, 2025.
刘凯, 徐园红, 彭勇, 等. 基于DBO-SVM直升机大型吊篮相地间隙操作冲击放电电压的预测[J/OL]. 默认刊物名称, 2025. DOI：

LIU Kai, XU Yuanhong, PENG Yong, et al. Prediction of switching impulse discharge voltage for helicopter Large hanging baskets phase-ground clearance based on DBO-SVM[J/OL]. Moren journal, 2025. DOI：

摘要

直升机大型吊篮安全距离依赖于典型带电作业间隙放电电压的确定，由于吊篮其体积大且间隙结构复杂，在实际试验当中悬挂困难，难以固定，相比于其他类型的间隙放电试验而言，所花费的成本更高、周期更长。本文提出基于蜣螂优化算法的支持向量机（Support vector machine for optimizing dung beetle algorithm

DBO-SVM）模型，用于预测直升机大型吊篮相地间隙的放电电压。搭建了直升机大型吊篮相地间隙正极性操作冲击放电试验平台，获得相地间隙的放电特性曲线，针对试验数据有限的问题，结合前期特高压带电作业的操作冲击放电电压数据来扩展数据集。以电场分布特征参数、几何结构参数作为输入，对直升机大型吊篮相地间隙正极性操作冲击放电电压进行预测。结果表明，相地的最小安全距离为6.7m

DBO-SVM预测模型的最大误差为4.8%，平均绝对百分比误差为3.16%，显示出比网格搜索算法、遗传算法、粒子群算法更优越的适应度，能够更准确地预测间隙放电电压，为直升机大型吊篮带电作业提供参考。

Abstract

The safety distance of the helicopter large gondola depends on the determination of the discharge voltage of the typical live operation gap

because the gondola is large in size and the gap structure is complex

it is difficult to hang in the actual test

it is difficult to fix

and compared with other types of gap discharge test

the cost is higher and the cycle is longer.In this paper

a support vector machine (DBO-SVM) model based on dung beetle optimization algorithm is proposed to predict the discharge voltage of the phase-to-ground gap of a large gondola of a helicopter.In view of the limited test data

the data set was expanded by combining the operating impulse discharge voltage data of UHV live operation in the early stage.The characteristic parameters of electric field distribution and geometric structure were used as inputs to predict the impulse discharge voltage of the positive polarity operation of the large gondola of the helicopter gondola.The results show that the minimum safety distance is 6.7m

the maximum error of the DBO-SVM prediction model is 4.8%

and the average absolute percentage error is 3.16%

which shows better adaptability than the grid search algorithm

genetic algorithm and particle swarm algorithm

and can more accurately predict the gap discharge voltage

which provides a reference for the live operation of large gondola of helicopter.

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