基于改进随机森林算法的变电站隔离开关精确定位及识别方法  

Accurate location and identification method of substation disconnector based on improved random forest algorithm

在线阅读下载全文

作  者:李萌锋 LI Mengfeng(State Grid Quanzhou Power Supply Company,Quanzhou 362000,Fujian,China)

机构地区:[1]国网泉州供电公司,福建泉州362000

出  处:《电测与仪表》2024年第10期217-224,共8页Electrical Measurement & Instrumentation

基  金:国家电网公司科技项目(5213301901HA)。

摘  要:变电站隔离开关在长期运行后易出现灰尘附着严重、润滑液干涸的现象,针对现有隔离开关定位和识别方法在复杂场景中存在的抗干扰能力差和准确率较低等问题,提出了一种基于改进随机森林算法的变电站隔离开关精确识别方法。在结合决策树算法和广义霍夫变换实现隔离开关精确定位的基础上,通过随机森林算法和粒子群算法相结合对隔离开关的工作状态进行分类,为变电站隔离开关带电清洗做好准备。通过实验比较和分析该方法的抗干扰能力以及改进前后的识别效果,验证该方法的优越性。实验结果表明,该方法能够准确训练识别模型,识别效果较为理想,与改进前相比,识别准确率提高了9%,达到99.5%,白噪声环境下该方法仍可以准确地识别三相隔离开关的工作状态,识别准确率达到97.5%。Substation disconnector are prone to severe dust adhesion and drying up of lubricating fluid after long-term operation,aiming at the problems of poor anti-interference ability and low accuracy of existing disconnector positioning and identification methods in complex scenarios,an accurate identification method of substation disconnector based on improved random forest algorithm is proposed.On the basis of the accurate positioning of disconnectors by combining decision tree algorithm and generalized Hough transform,the working status of disconnectors are classified by combining random forest algorithm and particle swarm optimization algorithm,so as to prepare for live cleaning of disconnectors in substations.Through the experimental comparison and analysis of the anti-jamming ability of the method and the recognition effect before and after the improvement,the superiority of the proposed method is verified.The experimental results show that this method can train the recognition model accurately,and the recognition effect is ideal,compared with the previous improvement,the recognition accuracy is improved by 9%,reaching 99.5%.Under the white noise environment,this method can still accurately identify the working state of three-phase disconnector,and the recognition accuracy is 97.5%.

关 键 词:变电站 隔离开关 精确识别 广义霍夫变换 随机森林算法 

分 类 号:TM933[电气工程—电力电子与电力传动]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象