一种串联型故障电弧数学模型
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摘要
串联型故障电弧威胁着供电系统的供电安全。因矿井等供电系统存在易燃易爆物质,不宜现场开展串联型故障电弧实验,无法大量获得故障电弧样本。为了对不宜开展故障电弧现场实验的供电系统进行串联型故障电弧特征分析及故障诊断,该文首先在实验室开展大量串联型故障电弧实验,通过数值分析获得不同实验条件下的Mayr-Schwarz电弧数学模型参数:电弧时间常数系数t_m、常量a、电弧耗散功率常数系数P_s、常量b、电弧电导g;然后再对实验条件与电弧数学模型参数进行灰色关联度分析,建立预测不同电路条件下串联型故障电弧数学模型参数的神经网络黑箱模型;在此基础建立串联型故障电弧的数学模型,并对故障电弧进行仿真分析;最后对比分析实验结果及仿真结果,验证了基于神经网络黑箱模型的串联型故障电弧数学模型的有效性。研究成果对不宜开展现场实验的供电系统开展串联型故障电弧诊断工作具有积极意义。
Series fault arc threatens supply safety of power the system. It is inappropriate to carry out series arc fault field test due to existence of flammable and explosive substances such as gas and coal dust. Therefore, we can't obtain a large number of fault arc sample data. To analyze and diagnose the series fault arc occurred in special power supply system, which is unsuitable for fault arc field experiment, the following work was carried out. Firstly, lots of series fault arc experiments were carried out in the laboratory. The parameters of Mayer-Schwarz arc mathematical model: under different experimental conditions including arc time constant coefficient t_m, constant a, arc dissipation power constant coefficient P_s, constant b, and arc initial conductance g obtained by numerical analysis.Secondly, after analyzing the grey correlational degree between experimental conditions and arc mathematical model parameters was analyzed. A neural network black box model was established to predict series fault arc mathematical model parameters under different circuit conditions. Thirdly, a mathematical model of series fault arc was established. And fault arc simulation was analyzed. Finally,the validity of the series fault arc mathematical model was verified by comparing experimental and simulation results. The research has a positive significance on fault diagnosis of series fault arc in power supply system which is not suitable for field experiments.
Series fault arc threatens supply safety of power the system. It is inappropriate to carry out series arc fault field test due to existence of flammable and explosive substances such as gas and coal dust. Therefore, we can't obtain a large number of fault arc sample data. To analyze and diagnose the series fault arc occurred in special power supply system, which is unsuitable for fault arc field experiment, the following work was carried out. Firstly, lots of series fault arc experiments were carried out in the laboratory. The parameters of Mayer-Schwarz arc mathematical model: under different experimental conditions including arc time constant coefficient t_m, constant a, arc dissipation power constant coefficient P_s, constant b, and arc initial conductance g obtained by numerical analysis.Secondly, after analyzing the grey correlational degree between experimental conditions and arc mathematical model parameters was analyzed. A neural network black box model was established to predict series fault arc mathematical model parameters under different circuit conditions. Thirdly, a mathematical model of series fault arc was established. And fault arc simulation was analyzed. Finally,the validity of the series fault arc mathematical model was verified by comparing experimental and simulation results. The research has a positive significance on fault diagnosis of series fault arc in power supply system which is not suitable for field experiments.
引文
[1]孙继平.基于物联网的煤矿瓦斯爆炸事故防范措施及典型事故分析[J].煤炭学报,2011,36(7):1172-1176.Sun Jiping.The accident prevention measure and analysis based on internet of things on in the gas explosion of coal mines[J].Journal of China Coal Society,2011,36(7):1172-1176.
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[12]舒立春,王鹏浩,徐宁,等.基于改进时变电弧方程的直流覆冰闪络动态电路模型研究[J].电工技术学报,2018,33(19):4603-4610.Shu Lichun,Wang Penghao,Xu Ning,et al.Study on dynamic circuit model of DC icing flashover based on improved time-varying arc equation[J].Transactions of China Electrotechnical Society,2018,33(19):4603-4610.
[13]ANSI UL1699,UL standard for safety for arc fault circuit interrupters[S].
[14]王其平.电器中的电弧理论[M].上海:科学技术出版社,1963.
[15]Walter M,Franck C.Improved method for direct black-box arc parameter determination and model validation[J].IEEE Transactions on Power Delivery,2014,29(2):580-588.
[16]黄伟,熊伟鹏,华亮亮,等.基于动态调度优先级的主动配电网多目标优化调度[J].电工技术学报,2018,33(15):3486-3498.Huang Wei,Xiong Weipeng,Hua Liangliang,et al.Multi-objective optimization dispatch of active distribution network based on dynamic schedule priority[J].Transactions of China Electrotechnical Society,2018,33(15):3486-3498.
[17]钟建林,何友,王红星.基于多频小波分析和D-S推理的电路故障诊断[J].电工技术学报,2010,25(8):180-184,192.Zhong Jianlin,He You,Wang Hongxing.Circuit fault diagnosis based on multi-frequency wavelet analysis and D-S reasoning[J].Transactions of China Electrotechnical Society,2010,25(8):180-184,192.
[18]李奎,李晓倍,郑淑梅,等.基于BP神经网络的交流接触器剩余电寿命预测[J].电工技术学报,2017,32(15):120-127.Li Kui,Li Xiaobei,Zheng Shumei,et al.Residual electrical life prediction for ac contactor based on BPneural network[J].Transactions of China Electrotechnical Society,2017,32(15):120-127.
[19]Vahidi B,Janati M,Hosseinian S H.Comparison between different models during short circuit interruption test of circuit breaker[C]//TENCON2007-2007 IEEE Region 10 Conference,Taipei,2007:1-4.
[2]Rong Mingzhe,Li Mei,Wu Yi,et al.3-D MHDmodeling of internal fault arc in a closed container[J].IEEE Transactions on Power Delivery,2017,32(3):1220-1227.
[3]Andrea J,Schweitzer P,Martel J M.Arc fault model of conductance.application to the UL1699 tests modeling[C]//2011 IEEE 57th Holm Conference on Electrical Contacts(Holm),Minneapolis,MN,USA,2011:1-6.
[4]Wu Xixiu,Li Zhenbiao,Tian Yun,et al.Investigate on the simulation of black-box arc model[C]//1st International Conference on Electric Power Equipment-Switching Technology,Xi'an,China,2012:629-636.
[5]Lezama J,Schweitzer P,Weber S,et al.Modeling of a domestic electrical installation to arc fault detection[C]//2012 IEEE 58th Holm Conference on Electrical Contacts(Holm),Protland,OR,USA,2012:1-7.
[6]Parise G,Martirano L,Laurini M.Simplified arcfault model:the reduction factor of the arc current[J].IEEE Transactions on Industry Applications,2013,49(4):1703-1710.
[7]Koziy K,Gou B,Aslakson J.A low-cost powerquality meter with series arc-fault detection capability for smart grid[J].IEEE Transactions on Power Delivery,2013,28(3):1584-1591.
[8]Uriarte F M,Gattozzi A L,Herbst J D,et al.A DCarc model for series faults in low voltage microgrids[J].IEEE Transactions on Smart Grid,2012,3(4):2063-2070.
[9]Guo Fengyi,Feng Xiaoli,Wang Zhiyong,et al.Research on time domain characteristics and mathematical model of electromagnetic radiation noise produced by single arc[J].IEEE Transactions on Components Packaging&Manufacturing Technology,2017,7(12):2008-2017.
[10]王立军,胡丽兰,周鑫,等.大尺寸电极条件下大电流真空电弧特性的仿真[J].电工技术学报,2013,28(2):163-170.Wang Lijun,Hu Lilan,Zhou Xin,et al.Simulation of high-current vacuum arc characteristics with big-size electrode conditions[J].Transactions of China Electrotechnical Society,2013,28(2):163-170.
[11]荣命哲,吴翊,杨飞,等.开关电弧电流零区非平衡态等离子体仿真研究现状[J].电工技术学报,2017,32(2):1-12,23.Rong Mingzhe,Wu Yi,Yang Fei,et al.Review on the simulation method of non-equilibrium arc plasma during current zero period in the circuit breaker[J].Power System Protection and Control,2017,32(2):1-12,23.
[12]舒立春,王鹏浩,徐宁,等.基于改进时变电弧方程的直流覆冰闪络动态电路模型研究[J].电工技术学报,2018,33(19):4603-4610.Shu Lichun,Wang Penghao,Xu Ning,et al.Study on dynamic circuit model of DC icing flashover based on improved time-varying arc equation[J].Transactions of China Electrotechnical Society,2018,33(19):4603-4610.
[13]ANSI UL1699,UL standard for safety for arc fault circuit interrupters[S].
[14]王其平.电器中的电弧理论[M].上海:科学技术出版社,1963.
[15]Walter M,Franck C.Improved method for direct black-box arc parameter determination and model validation[J].IEEE Transactions on Power Delivery,2014,29(2):580-588.
[16]黄伟,熊伟鹏,华亮亮,等.基于动态调度优先级的主动配电网多目标优化调度[J].电工技术学报,2018,33(15):3486-3498.Huang Wei,Xiong Weipeng,Hua Liangliang,et al.Multi-objective optimization dispatch of active distribution network based on dynamic schedule priority[J].Transactions of China Electrotechnical Society,2018,33(15):3486-3498.
[17]钟建林,何友,王红星.基于多频小波分析和D-S推理的电路故障诊断[J].电工技术学报,2010,25(8):180-184,192.Zhong Jianlin,He You,Wang Hongxing.Circuit fault diagnosis based on multi-frequency wavelet analysis and D-S reasoning[J].Transactions of China Electrotechnical Society,2010,25(8):180-184,192.
[18]李奎,李晓倍,郑淑梅,等.基于BP神经网络的交流接触器剩余电寿命预测[J].电工技术学报,2017,32(15):120-127.Li Kui,Li Xiaobei,Zheng Shumei,et al.Residual electrical life prediction for ac contactor based on BPneural network[J].Transactions of China Electrotechnical Society,2017,32(15):120-127.
[19]Vahidi B,Janati M,Hosseinian S H.Comparison between different models during short circuit interruption test of circuit breaker[C]//TENCON2007-2007 IEEE Region 10 Conference,Taipei,2007:1-4.
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