接触网复合绝缘子污闪电压预测方法研究
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摘要
通过人工污秽实验室中对接触网常用的11种复合绝缘子进行大量污秽实验,提出一种基于改进生物地理学算法优化BP神经网络的接触网复合绝缘子临界污闪电压预测模型。选取伞径Dm,爬电距离L,形状因数f及等值附盐密度ESDD作为模型的输入特征量。试验和对比分析表明,模型的预测效果良好,预测结果与试验结果基本一致。预测值可作为污闪试验的参考数据,能够有效降低污闪试验的工作量,为评估接触网线路的可靠性及对新建线路外绝缘的选型和维护提供一条新思路。
11 kinds of composite insulators commonly used by the contact network undergo a series of pollution flashover experiments in the artificial fog cabinet. Following that, a critical pollution flashover voltage prediction model of composite insulators of the contact network was proposed based on optimization of BP neural networks and an improved biogeographic algorithm was put forward. Cap diameter Dm, creep distance L, form factor f, and equivalent salt deposit density, ESDD, were adopted as input characteristic quantities of the model. Experimental and comparative analysis results suggest the model's prediction effect is favorable, and that prediction results basically coincide with experimental results. The prediction value can be adopted as the referential data of the flashover experiment and can efficiently reduce the workload of the pollution flashover experiment. This research can provide a new perspective for reliability evaluation of contact network lines and model selection and maintenance of external insulation of newly-built lines.
11 kinds of composite insulators commonly used by the contact network undergo a series of pollution flashover experiments in the artificial fog cabinet. Following that, a critical pollution flashover voltage prediction model of composite insulators of the contact network was proposed based on optimization of BP neural networks and an improved biogeographic algorithm was put forward. Cap diameter Dm, creep distance L, form factor f, and equivalent salt deposit density, ESDD, were adopted as input characteristic quantities of the model. Experimental and comparative analysis results suggest the model's prediction effect is favorable, and that prediction results basically coincide with experimental results. The prediction value can be adopted as the referential data of the flashover experiment and can efficiently reduce the workload of the pollution flashover experiment. This research can provide a new perspective for reliability evaluation of contact network lines and model selection and maintenance of external insulation of newly-built lines.
引文
[1]裴升文,支红强.一起复合绝缘子污闪事故的原因分析及防范[J].电力安全技术,2011,13(1):36-37.PEI Shengwen,ZHI Hongqiang.Analysis and prevention of the pollution flashover accident of the composite insulators[J].Electric Safety Technology,2011,13(1):36-37
[2]叶汉欣.污秽成分对复合绝缘子闪络特性的影响研究[D].重庆:重庆大学,2015.YE Hanxin.Influence of contamination composition on flashover characteristics of composite insulators[D].Chongqing:Chongqing University,2015.
[3]Kontargyri V T,Gialkestsi A A,Teskouras G J,et al.Design of an artificial neutral network for the estimation of the flashover voltage on insulator[J].Electric Power System Research,2007,77(12):1532-1540.
[4]石岩,蒋兴良.基于RBF网络的覆冰绝缘子闪络电压预测模型[J].高电压技术,2009,35(3):591-596.SHI Yan,JIANG Xingliang.Based on RBF network of ice covered insulators flashover voltage forecasting model[J].High Voltage Engineering,2009,35(3):591-596.
[5]舒立春,白困利.基于支持向量机的复杂环境条件下绝缘子闪络电压的预测[J].中国电机工程学报,2006,26(17):127-131.SHU Lichun,BAI Kunli.Prediction of insulator flashover voltage under complex environmental conditions based on support vector machine[J].Proceedings of the Chinese Society of Electrical Engineering,2006,26(17):127-131.
[6]丁龙,郝虎在.基于支持向量机回归法的绝缘子污闪电压预测研究[J].电瓷避雷器,2014,16(1):23-25.DING Long,HAO Huzai.Prediction of insulator pollution flashover voltage based on support vector machine(SVM)[J].Insulators and Surge Arresters,2014,16(1):23-25.
[7]Shewehdi M H,Farag A S,Izzularab M A.Estimating the insulation strength of two series non-ceramic dielectrics on distribution systems a statistical approach[C]//Electrical Insulation Conference,Rosemont,1997:799-804.
[8]Kiruthika M,Sivadasan J.Evaluation and prediction of flashover voltage on contaminated composite insulators[C]//Electrical,Computer and Communication Technologies(ICECCT),Coimbatore,2015(2):978-982.
[9]Boussaid I,Chatterjee A,Siarry P,et al.Two-stage update biogeography-based optimization using differential evolution algorithm[J].Computer and Operations Research,2011,38(8):1188-1198.
[10]Bhattacharya A,Chattopadhyay P K.Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch[J].IEEE Transactions on Power Systems,2010,25(4):1955-1964.
[11]黄成才,李永刚.基于复合绝缘子污闪模型的闪络特性分析[J].电瓷避雷器,2014,16(4):31-36.HUANG Chengcai,LI Yonggang.Based on composite insulator pollution flashover model of flashover characteristics analysis[J].Insulators and Surge Arresters,2014,16(4):31-36.
[12]王秀娟,王刚.染污情况下硅橡胶表面直流电弧特性研究[J].电瓷避雷器,2015,12(6):31-38.WANG Xiujuan,WANG Gang.Contamination conditions of silicon rubber surface DC arc characteristics[J].Insulators and Surge Arresters,2015,12(6):31-38.
[13]胡琴,殷攀程.交流工作电压下染污方式对220 k V复合绝缘子覆冰及闪络特性的影响[J].中国电机工程学报,2015,35(18):4817-4824.HU Qin,YIN Pancheng.Stain mode under AC voltage of220 k V composite insulator icing and flashover characteristics[J].The Chinese Journal of Electrical Engineering,2015,35(18):4817-4824.
[14]方春华,周毅.基于泄漏电流相位差的绝缘子污秽度表征方法研究[J].高压电器,2016,52(2):7-12.FANG Chunhua,ZHOU Yi.Study on the insulator contamination degree representation method based on the phase difference of leakage current[J].High Voltage Electrical Apparatus,2016,52(2):7-12.
[15]黎鹏,黄道春.加压方式对山火条件下间隙击穿特性的影响研究[J].电网技术,2016,40(5):1576-1581.LI Peng,HUANG Daochun.Effect of pressure on the breakdown characteristics of gap under fire conditions on[J].Power System Technology,2016,40(5):1576-1581.
[2]叶汉欣.污秽成分对复合绝缘子闪络特性的影响研究[D].重庆:重庆大学,2015.YE Hanxin.Influence of contamination composition on flashover characteristics of composite insulators[D].Chongqing:Chongqing University,2015.
[3]Kontargyri V T,Gialkestsi A A,Teskouras G J,et al.Design of an artificial neutral network for the estimation of the flashover voltage on insulator[J].Electric Power System Research,2007,77(12):1532-1540.
[4]石岩,蒋兴良.基于RBF网络的覆冰绝缘子闪络电压预测模型[J].高电压技术,2009,35(3):591-596.SHI Yan,JIANG Xingliang.Based on RBF network of ice covered insulators flashover voltage forecasting model[J].High Voltage Engineering,2009,35(3):591-596.
[5]舒立春,白困利.基于支持向量机的复杂环境条件下绝缘子闪络电压的预测[J].中国电机工程学报,2006,26(17):127-131.SHU Lichun,BAI Kunli.Prediction of insulator flashover voltage under complex environmental conditions based on support vector machine[J].Proceedings of the Chinese Society of Electrical Engineering,2006,26(17):127-131.
[6]丁龙,郝虎在.基于支持向量机回归法的绝缘子污闪电压预测研究[J].电瓷避雷器,2014,16(1):23-25.DING Long,HAO Huzai.Prediction of insulator pollution flashover voltage based on support vector machine(SVM)[J].Insulators and Surge Arresters,2014,16(1):23-25.
[7]Shewehdi M H,Farag A S,Izzularab M A.Estimating the insulation strength of two series non-ceramic dielectrics on distribution systems a statistical approach[C]//Electrical Insulation Conference,Rosemont,1997:799-804.
[8]Kiruthika M,Sivadasan J.Evaluation and prediction of flashover voltage on contaminated composite insulators[C]//Electrical,Computer and Communication Technologies(ICECCT),Coimbatore,2015(2):978-982.
[9]Boussaid I,Chatterjee A,Siarry P,et al.Two-stage update biogeography-based optimization using differential evolution algorithm[J].Computer and Operations Research,2011,38(8):1188-1198.
[10]Bhattacharya A,Chattopadhyay P K.Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch[J].IEEE Transactions on Power Systems,2010,25(4):1955-1964.
[11]黄成才,李永刚.基于复合绝缘子污闪模型的闪络特性分析[J].电瓷避雷器,2014,16(4):31-36.HUANG Chengcai,LI Yonggang.Based on composite insulator pollution flashover model of flashover characteristics analysis[J].Insulators and Surge Arresters,2014,16(4):31-36.
[12]王秀娟,王刚.染污情况下硅橡胶表面直流电弧特性研究[J].电瓷避雷器,2015,12(6):31-38.WANG Xiujuan,WANG Gang.Contamination conditions of silicon rubber surface DC arc characteristics[J].Insulators and Surge Arresters,2015,12(6):31-38.
[13]胡琴,殷攀程.交流工作电压下染污方式对220 k V复合绝缘子覆冰及闪络特性的影响[J].中国电机工程学报,2015,35(18):4817-4824.HU Qin,YIN Pancheng.Stain mode under AC voltage of220 k V composite insulator icing and flashover characteristics[J].The Chinese Journal of Electrical Engineering,2015,35(18):4817-4824.
[14]方春华,周毅.基于泄漏电流相位差的绝缘子污秽度表征方法研究[J].高压电器,2016,52(2):7-12.FANG Chunhua,ZHOU Yi.Study on the insulator contamination degree representation method based on the phase difference of leakage current[J].High Voltage Electrical Apparatus,2016,52(2):7-12.
[15]黎鹏,黄道春.加压方式对山火条件下间隙击穿特性的影响研究[J].电网技术,2016,40(5):1576-1581.LI Peng,HUANG Daochun.Effect of pressure on the breakdown characteristics of gap under fire conditions on[J].Power System Technology,2016,40(5):1576-1581.