简化的Schavemaker交流电弧模型参数的计算方法研究
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摘要
以工业、商业、住宅的电气系统为背景,以建立准确的电弧模型为目的,基于简化的Schavemaker模型进行研究,提出一种基于神经网络的模型参数计算方法。利用基于实验数据的模型参数计算方法得到神经网络训练样本,构建模型参数与工作条件之间的神经网络。利用所建网络可在无法获得特定工作条件下的电弧实验数据时直接预测该工作条件下的模型参数值。最终的验证结果表明,所提出的基于神经网络的模型参数计算方法准确度高,而且相比于现有方法具有一定的优越性。同时也反映了所建交流电弧模型能有效地实现电弧模拟,可为进一步的交流电弧特征学习和检测算法设计提供方法和工具。
To establish an accurate arc model, this paper researches the simplified Schavemaker model under the background of industrial, commercial and residential electrical systems. A calculation method based on neural network is proposed, which uses a calculation method based on experimental data to obtain training samples and build a neural network between model parameters and working conditions. The built neural network can directly predict the model parameters' values under certain working condition when the experimental data of this working condition cannot be obtained. The final verification results show that the proposed model parameter calculation method based on neural network has high accuracy and superiority compared with the existing methods. It also shows that the established AC arc model can realize arc simulation and can be used for further AC arc feature learning and detection algorithm design.
To establish an accurate arc model, this paper researches the simplified Schavemaker model under the background of industrial, commercial and residential electrical systems. A calculation method based on neural network is proposed, which uses a calculation method based on experimental data to obtain training samples and build a neural network between model parameters and working conditions. The built neural network can directly predict the model parameters' values under certain working condition when the experimental data of this working condition cannot be obtained. The final verification results show that the proposed model parameter calculation method based on neural network has high accuracy and superiority compared with the existing methods. It also shows that the established AC arc model can realize arc simulation and can be used for further AC arc feature learning and detection algorithm design.
引文
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[15]程含渺,徐晴,纪峰,等.一种用于电子式互感器相位补偿的数字移相方法[J].电力工程技术,2017,36(2):82-87.CHENG Hanyun,XU Qing,JI Feng,et al.A digital phase shifting method for phase compensation of electronic transformers[J].Power Engineering Technology,2017,36(2):82-87.
[16]田洪迅,王宏刚,万涛,等.基于BP神经网络的配电网可靠性关联因素灵敏度计算方法[J].电力系统保护与控制,2017,45(19):71-77.TIAN Hongxun,WANG Honggang,WAN Tao,et al.Sensitivity calculation method for reliability of reliable distribution network based on bp neural network[J].Power System Protection and Control,2017,45(19):71-77.
[17]何巨龙,王根平,刘丹,等.基于提升小波和改进BP神经网络的配电网系统电能质量扰动定位与识别[J].电力系统保护与控制,2017,45(10):69-76.HE Julong,WANG Genping,LIU Dan,et al.Power quality disturbance localization and identification of distribution network system based on lifting wavelet and improved BP neural network[J].Power System Protection and Control,2017,45(10):69-76.
[18]廖峥,熊小伏,李新,等.基于BP神经网络的输电线路舞动预警方法[J].电力系统保护与控制,2017,45(19):154-161.LIAO Zheng,XIONG Xiaofu,LI Xin,et al.A method for early warning of transmission line galloping based on BPneural network[J].Power System Protection and Control,2017,45(19):154-161.
[19]闫龙川,张晓亮,杨猛,等.基于BP神经网络的信息系统故障自动恢复技术[J].中国电力,2017,50(8):146-149.YAN Longchuan,ZHANG Xiaoliang,YANG Meng,et al.Automatic fault recovery technology of information system based on BP neural network[J].Electric Power,2017,50(8):146-149.
[20]邓博,徐鸿,郭鹏,等.变负荷下超(超)临界机组过热器壁温预测[J].中国电力,2018,51(3):13-20.DENG Bo,XU Hong,GUO Peng,et al.Prediction of superheater wall temperature of supercritical units under variable load[J].Electric Power,2018,51(3):13-20.
[21]曹振.电弧炉电弧模型的研究[D].沈阳:东北大学,2009.CAO Zhen.Research on arc model of electric arc furnace[D].Shenyang:Northeastern University,2009.
[22]刘晓明,徐叶飞,刘婷,等.基于电流信号短时过零率的电弧故障检测[J].电工技术学报,2015,30(13):125-133.LIU Xiaoming,XU Yefei,LIU Ting,et al.Arc fault detection based on short-time zero-crossing rate of current signals[J].Transactions of China Electrotechnical Society,2015,30(13):125-133.
[23]娄杰,孙秋芹,李庆民.潜供电弧零休阶段弧道恢复电压特性[J].高电压技术,2013,39(12):2960-2966.LOU Jie,SUN Qiuqin,LI Qingmin.Arc recovery voltage characteristics of submarine arc zero rest phase[J].High Voltage Engineering,2013,39(12):2960-2966.
[24]卢其威,王涛,李宗睿,等.基于小波变换和奇异值分解的串联电弧故障检测方法[J].电工技术学报,2017,32(17):208-217.LU Qiwei,WANG Tao,LI Zongrui,et al.Series arc fault detection method based on wavelet transform and singular value decomposition[J].Journal of Electrical Technology,2017,32(17):208-217.
[25]严国平,陈昊,谭风雷,等.基于电流特征提取的故障电弧识别方法[J].智慧电力,2018,46(6):101-105.YAN Guoping,CHEN Hao,TAN Fenglei,et al.Fault arc recognition method based on current feature extraction[J].Smart Power,2018,46(6):101-105.
[26]张丽萍,邹学东,苏鹏宇,等.配电网弧光接地故障仿真与分析研究[J].智慧电力,2017,45(12):69-74.ZHANG Liping,ZOU Xuedong,SU Pengyu,et al.Distribution network arc grounding fault simulation and analysis[J].Smart Power,2017,45(12):69-74.
[27]李建南,张慧媛,王鲜花,等.中压电缆网接地故障的电弧建模及仿真研究[J].电力系统保护与控制,2016,44(24):105-109.LI Jiannan,ZHANG Huiyuan,WANG Xianhua,et al.Arc modeling and simulation of ground faults in medium voltage cable networks[J].Power System Protection and Control,2016,44(24):105-109.
[28]张冠英,张晓亮,刘华,等.低压系统串联故障电弧在线检测方法[J].电工技术学报,2016,31(8):109-115.ZHANG Guanying,ZHANG Xiaoliang,LIU Hua,et al.On-line detection method of series fault arc in low-voltage system[J].Transactions of China Electrotechnical Society,2016,31(8):109-115.
[29]王晓远,高淼,赵玉双.阻性负载下低压故障电弧特性分析[J].电力自动化设备,2015,35(5):106-110.WANG Xiaoyuan,GAO Miao,ZHAO Yushuang.Analysis of low voltage fault arc characteristics under resistive loads[J].Electric Power Automation Equipment,2015,35(5):106-110.
[30]王尧,韦强强,葛磊蛟,等.基于电弧电流高频分量的串联交流电弧故障检测方法[J].电力自动化设备,2017,37(7):191-197.WANG Yao,WEI Qiangqiang,GE Leijiao,et al.Fault detection method for series AC arc based on high-frequency components of arc current[J].Electric Power Automation Equipment,2017,37(7):191-197.
[31]赖联有,许伟坚.基于零相位误差滤波的局部放电故障识别[J].电力工程技术,2018,37(3):73-77.LAI Lianyou,XU Weijian.partial discharge fault recognition based on zero phase error filtering[J].Power Engineering Technology,2018,37(3):73-77.
[32]ZENG K,XING L,ZHANG Y,et al.Characteristics analysis of AC arc fault in time and frequency domain[C]//Prognostics and System Health Management Conference,IEEE,July 9-12,2017,Harbin,China:1-5.
[2]杨柳林,李德奎,陈延明,等.基于RTDS的电弧接地故障自定义建模及仿真分析[J].电力系统保护与控制,2016,44(16):137-142.YANG Liulin,LI Dekui,CHEN Yanming,et al.Custom modeling and simulation of arcing ground fault based on RTDS[J].Power System Protection and Control,2016,44(16):137-142.
[3]许晔,郭谋发,陈彬,等.配电网单相接地电弧建模及仿真分析研究[J].电力系统保护与控制,2015,43(7):57-64.XU Ye,GUO Moufa,CHEN Bin,et al.Single-phase grounding arc modeling and simulation analysis for distribution networks[J].Power System Protection and Control,2015,43(7):57-64.
[4]陈博博,屈卫锋,杨宏宇,等.小电流接地系统单相接地综合电弧模型与选线方法的研究[J].电力系统保护与控制,2016,44(16):1-7.CHEN Bobo,QU Weifeng,YANG Hongyu,et al.Singlephase grounding integrated arc model and line selection method for small current grounding system[J].Power System Protection and Control,2016,44(16):1-7.
[5]孟涛,林莘,徐建源.分段电弧模型下VFTO的计算与分析[J].电工技术学报,2010,25(9):69-73.MENG Tao,LIN Shen,XU Jianyuan.Calculation and analysis of VFTO under sectional arc model[J].Transactions of China Electrotechnical Society,2010,25(9):69-73.
[6]张峰,何新,杨丽君.用于电能质量分析的电弧炉仿真模型[J].电气技术,2013,14(7):34-38.ZHANG Feng,HE Xin,YANG Lijun.Arc furnace simulation model for power quality analysis[J].Electric Technique,2013,14(7):34-38.
[7]刘德东,何人望,黄戡,等.VFTO仿真中GIS隔离开关电弧模型的研究[J].电气工程学报,2015,10(6):88-93.LIU Dedong,HE Renwang,HUANG Kan,et al.Study on GIS disconnector arc model in VFTO simulation[J].Journal of Electrical Engineering,2015,10(6):88-93.
[8]陈旭坤,曹保江,刘耀银,等.高速气流场下列车弓网电弧动态模型[J].高电压技术,2016,42(11):3593-3600.CHEN Xukun,CAO Baojiang,LIU Yaoyin,et al.Adynamic model of the following vehicle bow-net arc with high-speed airflow field[J].High Voltage Engineering,2016,42(11):3593-3600.
[9]胡畔,陈红坤,孙志达,等.一种交流电弧炉通用性模型[J].电工技术学报,2016,31(8):172-180.HU Pan,CHEN Hongkun,SUN Zhida,et al.A universal model for AC arc furnaces[J].Transactions of China Electrotechnical Society,2016,31(8):172-180.
[10]林莘,王亮,徐建源,等.非平衡态双温度SF6等离子体电弧数学模型研究[J].高压电器,2015,51(3):1-7.LIN Shen,WANG Liang,XU Jianyuan,et al.Mathematical model of non-equilibrium dual-temperature SF_6 plasma arc[J].High Voltage Apparatus,2015,51(3):1-7.
[11]姜斌峰,王莉.低压交流电线故障电弧模型研究[J].电力系统及其自动化学报,2009,21(4):20-24.JIANG Binfeng,WANG Li.Research on fault arc model of low-voltage AC wires[J].Proceedings of the CSU-EPSA,2009,21(4):20-24.
[12]SCHAVEMAKER P H,VAN DER SLUIS L.An improved Mayr type arc model based on current-zero measurements[J].IEEE Transactions on Power Delivery,2000,15(2):580-584.
[13]王其平.电器电弧理论[M].北京:机械工业出版社,1991.
[14]WU Y H,DONG X Z,MIRSAEIDI S.Modeling and simulation of air-gapped current transformer based on Preisach Theory[J].Protection and Control of Modern Power Systems,2017,2(2):111-121.DOI:10.1186/s41601-017-0046-0.
[15]程含渺,徐晴,纪峰,等.一种用于电子式互感器相位补偿的数字移相方法[J].电力工程技术,2017,36(2):82-87.CHENG Hanyun,XU Qing,JI Feng,et al.A digital phase shifting method for phase compensation of electronic transformers[J].Power Engineering Technology,2017,36(2):82-87.
[16]田洪迅,王宏刚,万涛,等.基于BP神经网络的配电网可靠性关联因素灵敏度计算方法[J].电力系统保护与控制,2017,45(19):71-77.TIAN Hongxun,WANG Honggang,WAN Tao,et al.Sensitivity calculation method for reliability of reliable distribution network based on bp neural network[J].Power System Protection and Control,2017,45(19):71-77.
[17]何巨龙,王根平,刘丹,等.基于提升小波和改进BP神经网络的配电网系统电能质量扰动定位与识别[J].电力系统保护与控制,2017,45(10):69-76.HE Julong,WANG Genping,LIU Dan,et al.Power quality disturbance localization and identification of distribution network system based on lifting wavelet and improved BP neural network[J].Power System Protection and Control,2017,45(10):69-76.
[18]廖峥,熊小伏,李新,等.基于BP神经网络的输电线路舞动预警方法[J].电力系统保护与控制,2017,45(19):154-161.LIAO Zheng,XIONG Xiaofu,LI Xin,et al.A method for early warning of transmission line galloping based on BPneural network[J].Power System Protection and Control,2017,45(19):154-161.
[19]闫龙川,张晓亮,杨猛,等.基于BP神经网络的信息系统故障自动恢复技术[J].中国电力,2017,50(8):146-149.YAN Longchuan,ZHANG Xiaoliang,YANG Meng,et al.Automatic fault recovery technology of information system based on BP neural network[J].Electric Power,2017,50(8):146-149.
[20]邓博,徐鸿,郭鹏,等.变负荷下超(超)临界机组过热器壁温预测[J].中国电力,2018,51(3):13-20.DENG Bo,XU Hong,GUO Peng,et al.Prediction of superheater wall temperature of supercritical units under variable load[J].Electric Power,2018,51(3):13-20.
[21]曹振.电弧炉电弧模型的研究[D].沈阳:东北大学,2009.CAO Zhen.Research on arc model of electric arc furnace[D].Shenyang:Northeastern University,2009.
[22]刘晓明,徐叶飞,刘婷,等.基于电流信号短时过零率的电弧故障检测[J].电工技术学报,2015,30(13):125-133.LIU Xiaoming,XU Yefei,LIU Ting,et al.Arc fault detection based on short-time zero-crossing rate of current signals[J].Transactions of China Electrotechnical Society,2015,30(13):125-133.
[23]娄杰,孙秋芹,李庆民.潜供电弧零休阶段弧道恢复电压特性[J].高电压技术,2013,39(12):2960-2966.LOU Jie,SUN Qiuqin,LI Qingmin.Arc recovery voltage characteristics of submarine arc zero rest phase[J].High Voltage Engineering,2013,39(12):2960-2966.
[24]卢其威,王涛,李宗睿,等.基于小波变换和奇异值分解的串联电弧故障检测方法[J].电工技术学报,2017,32(17):208-217.LU Qiwei,WANG Tao,LI Zongrui,et al.Series arc fault detection method based on wavelet transform and singular value decomposition[J].Journal of Electrical Technology,2017,32(17):208-217.
[25]严国平,陈昊,谭风雷,等.基于电流特征提取的故障电弧识别方法[J].智慧电力,2018,46(6):101-105.YAN Guoping,CHEN Hao,TAN Fenglei,et al.Fault arc recognition method based on current feature extraction[J].Smart Power,2018,46(6):101-105.
[26]张丽萍,邹学东,苏鹏宇,等.配电网弧光接地故障仿真与分析研究[J].智慧电力,2017,45(12):69-74.ZHANG Liping,ZOU Xuedong,SU Pengyu,et al.Distribution network arc grounding fault simulation and analysis[J].Smart Power,2017,45(12):69-74.
[27]李建南,张慧媛,王鲜花,等.中压电缆网接地故障的电弧建模及仿真研究[J].电力系统保护与控制,2016,44(24):105-109.LI Jiannan,ZHANG Huiyuan,WANG Xianhua,et al.Arc modeling and simulation of ground faults in medium voltage cable networks[J].Power System Protection and Control,2016,44(24):105-109.
[28]张冠英,张晓亮,刘华,等.低压系统串联故障电弧在线检测方法[J].电工技术学报,2016,31(8):109-115.ZHANG Guanying,ZHANG Xiaoliang,LIU Hua,et al.On-line detection method of series fault arc in low-voltage system[J].Transactions of China Electrotechnical Society,2016,31(8):109-115.
[29]王晓远,高淼,赵玉双.阻性负载下低压故障电弧特性分析[J].电力自动化设备,2015,35(5):106-110.WANG Xiaoyuan,GAO Miao,ZHAO Yushuang.Analysis of low voltage fault arc characteristics under resistive loads[J].Electric Power Automation Equipment,2015,35(5):106-110.
[30]王尧,韦强强,葛磊蛟,等.基于电弧电流高频分量的串联交流电弧故障检测方法[J].电力自动化设备,2017,37(7):191-197.WANG Yao,WEI Qiangqiang,GE Leijiao,et al.Fault detection method for series AC arc based on high-frequency components of arc current[J].Electric Power Automation Equipment,2017,37(7):191-197.
[31]赖联有,许伟坚.基于零相位误差滤波的局部放电故障识别[J].电力工程技术,2018,37(3):73-77.LAI Lianyou,XU Weijian.partial discharge fault recognition based on zero phase error filtering[J].Power Engineering Technology,2018,37(3):73-77.
[32]ZENG K,XING L,ZHANG Y,et al.Characteristics analysis of AC arc fault in time and frequency domain[C]//Prognostics and System Health Management Conference,IEEE,July 9-12,2017,Harbin,China:1-5.
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