光伏发电系统直流串联故障电弧检测方法研究

唐圣学; 王彦丰; 乔乃珍

doi:10.19912/j.0254-0096.tynxb.2022-1131

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (11) : 31-39. DOI: 10.19912/j.0254-0096.tynxb.2022-1131

光伏发电系统直流串联故障电弧检测方法研究

唐圣学^1,2, 王彦丰^1,2, 乔乃珍^1,2

作者信息 +

STUDY ON DETECTION METHOD OF DC FAULT ARC BASED ON PHOTOVOLTAIC POWER GENERATION SYSTEM

Tang Shengxue^1,2, Wang Yanfeng^1,2, Qiao Naizhen^1,2

Author information +

文章历史 +

摘要

根据光伏阵列不同阴影下的伏安（U-I）输出特性,分析光伏发电系统直流串联故障电弧产生机理,通过搭建故障电弧实验平台分析直流故障电弧的信号特性,进而提出一种基于Volterra级数的串联直流故障电弧检测方法。该方法先对电流信号进行相空间重构,然后在重构的相空间内建立Volterra级数模型以提取时域核特征,并采用狮群算法（LSO）优化的核限学习机（KELM）辨识故障电弧。实验结果表明：该方法能准确检测光伏阵列正常运行与阴影状态下的强直流故障电弧,还能检测微弱直流电弧。

Abstract

According to the U-I output characteristics of PV array under different shades, this paper analyzes the generation mechanism of the DC series fault arc in PV system, and analyzes the characteristics of DC series fault arc signal by building a PV system fault arc test platform, and then introduces a method to detect DC arc fault under shading based on Volterra series. The proposed method firstly reconstructs the phase space of the current signal, and then establishes a Volterra series model in the reconstructed phase space to extract the time-domain kernel features, and uses the Kernel Limit Learning Machine（KELM）optimized by the lion colony algorithm（LSO）to identify fault arc. The experimental results show that the proposed method can accurately detect strong DC fault arcs in normal state and shadow state of PV system, and can also detect weak DC arcs.

导出引用

唐圣学, 王彦丰, 乔乃珍. 光伏发电系统直流串联故障电弧检测方法研究[J]. 太阳能学报. 2023, 44(11): 31-39 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1131

Tang Shengxue, Wang Yanfeng, Qiao Naizhen. STUDY ON DETECTION METHOD OF DC FAULT ARC BASED ON PHOTOVOLTAIC POWER GENERATION SYSTEM[J]. Acta Energiae Solaris Sinica. 2023, 44(11): 31-39 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1131

中图分类号： TM615 TM501+.2

参考文献

[1] 杨凯, 张认成, 杨建红, 等. 基于分形维数和支持向量机的串联电弧故障诊断方法[J]. 电工技术学报, 2016, 31(2): 70-77.
YANG K, ZHANG R C, YANG J H, et al.Series arc fault diagnostic method based on fractal dimension and support vector machine[J]. Transactions of China Electrotechnical Society, 2016, 31(2): 70-77.
[2] 吴春华, 徐文新, 李智华, 等. 光伏系统直流电弧故障检测方法及其抗干扰研究[J]. 中国电机工程学报, 2018, 38(12): 3546-3555, 14.
WU C H, XU W X, LI Z H, et al.Study on detection method and its anti-interference of DC arc fault for photovoltaic system[J]. Proceedings of the CSEE, 2018, 38(12): 3546-3555, 14.
[3] 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 G Y, ZHANG X L, LIU H, et al.Online detection method for series arcing fault in low voltage system[J]. Transactions of China Electrotechnical Society, 2016, 31(8): 109-115.
[4] 刘源, 汲胜昌, 祝令瑜, 等. 直流电源系统中直流电弧特性及其检测方法研究[J]. 高压电器, 2015, 51(2): 24-29.
LIU Y, JI S C, ZHU L Y, et al.Characteristics and detection of DC arc in DC power system[J]. High voltage apparatus, 2015, 51(2): 24-29.
[5] 陈永辉, 熊兰, 范禹邑, 等. 基于互感器电压信号的光伏电弧故障检测方法[J]. 太阳能学报, 2021, 42(10): 68-75.
CHEN Y H, XIONG L, FAN Y Y, et al.Photovoltaic arc fault detection method based on transformer voltage signal[J]. Acta energiae solaris sinica, 2021, 42(10): 68-75.
[6] 王先发, 顾卫祥. 光伏系统直流侧故障电弧的检测与判别[J]. 电气技术, 2019, 20(5): 10-13.
WANG X F, GU W X.Detection and discrimination of DC side fault arc in photovoltaic system[J]. Electrical engineering, 2019, 20(5): 10-13.
[7] 牟龙华, 王伊健, 蒋伟, 等. 光伏系统直流电弧故障特征及检测方法研究[J]. 中国电机工程学报, 2016, 36(19): 5236-5244, 5405.
MU L H, WANG Y J, JIANG W, et al.Study on characteristics and detection method of DC arc fault for photovoltaic system[J]. Proceedings of the CSEE, 2016, 36(19): 5236-5244, 5405.
[8] CHEN S L, LI X W, MENG Y, et al.Wavelet-based protection strategy for series arc faults interfered by multicomponent noise signals in grid-connected photovoltaic systems[J]. Solar energy, 2019, 183: 327-336.
[9] 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 Q W, WANG T, LI Z R, et al.Detection method of series arcing fault based on wavelet transform and singular value decomposition[J]. Transactions of China Electrotechnical Society, 2017, 32(17): 208-217.
[10] 吴春华, 徐文新, 李智华, 等. 光伏系统直流侧故障电弧类型辨识及电路保护[J]. 中国电机工程学报, 2017, 37(17): 5028-5036, 5222.
WU C H, XU W X, LI Z H, et al.Arc fault type identification and circuit protection in photovoltaic system[J]. Proceedings of the CSEE, 2017, 37(17): 5028-5036, 5222.
[11] 张冠英, 赵若姿, 王尧. 基于FCM算法的光伏系统电弧故障检测方法研究[J]. 高压电器, 2022, 58(5): 15-22.
ZHANG G Y, ZHAO R Z, WANG Y.Study on arc fault detection method of photovoltaic system based on FCM[J]. High voltage apparatus, 2022, 58(5): 15-22.
[12] 吴春华, 黄宵宵, 李智华, 等. 光伏系统直流微弱电弧信号检测研究[J]. 中国电机工程学报, 2019, 39(20): 6025-6033, 6183.
WU C H, HUANG X X, LI Z H, et al.Research on DC weak arc signal detection in photovoltaic system[J]. Proceedings of the CSEE, 2019, 39(20): 6025-6033, 6183.
[13] 唐圣学, 刁旭东, 陈丽, 等. 光伏发电系统直流串联微弱故障电弧检测方法研究[J]. 仪器仪表学报, 2021, 42(3): 150-160.
TANG S X, DIAO X D, CHEN L, et al.Study on detection method of weak series DC fault arc in PV power generation systems[J]. Chinese journal of scientific instrument, 2021, 42(3): 150-160.
[14] 曲娜, 王建辉, 刘金海, 等. 基于Cassie模型和L_3/4范数的串联电弧故障检测方法[J]. 电网技术, 2018, 42(12): 3992-3997.
QU N, WANG J H, LIU J H, et al.Aseries arc fault detection method based on Cassie model and L_3/4 Norm[J]. Power system technology, 2018, 42(12): 3992-3997.
[15] 黄宁, 马林茂. 基于改进C-C方法相空间重构和LS-SVM的隧道拱顶沉降预测模型[J]. 数学的实践与认识, 2014, 44(20): 130-139.
HUANG N, MA L M.The prediction model of metro vault settlement based on developed C-C method phase Space reconstruction and LS-SVM[J]. Mathematics in practice and theory, 2014, 44(20): 130-139.
[16] 陆振波, 蔡志明, 姜可宇. 基于改进的C-C方法的相空间重构参数选择[J]. 系统仿真学报, 2007, 19(11): 2527-2529, 2538.
LU Z B, CAI Z M, JIANG K Y.Determination of embedding parameters for phase space reconstruction based on improved C-C method[J]. Journal of system simulation, 2007, 19(11): 2527-2529, 2538.
[17] 张淑清, 段晓宁, 张立国, 等. Tsne降维可视化分析及飞蛾火焰优化ELM算法在电力负荷预测中应用[J]. 中国电机工程学报, 2021, 41(9): 3120-3130.
ZHANG S Q, DUAN X N, ZHANG L G, et al.Tsne dimension reduction visualization analysis and moth flame optimized ELM algorithm applied in power load forecasting[J]. Proceedings of the CSEE, 2021, 41(9): 3120-3130.
[18] 熊兰, 曾泽宇, 杨军, 等. 小电流直流故障电弧的数学模型及其特性[J]. 电工技术学报, 2019, 34(13): 2820-2829.
XIONG L, ZENG Z Y, YANG J, et al.Mathematical model and characteristics of low current DC fault arc[J]. Transactions of China Electrotechnical Society, 2019, 34(13): 2820-2829.
[19] 张聪明, 刘立群, 马立群. 一种新的群智能算法:狮群算法[J]. 计算机科学, 2018, 45(S1): 114-116.
ZHANG C M, LIU L Q, MA L Q.New swarm intelligent algorithms :lions algorithm[J]. Computer science, 2018, 45(S1): 114-116.