基于矩阵扰动法和传感器优化配置的光伏阵列故障定位方法

陈伟, 丁聪, 裴婷婷, 张馨尹

太阳能学报 ›› 2025, Vol. 46 ›› Issue (1) : 641-653.

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (1) : 641-653. DOI: 10.19912/j.0254-0096.tynxb.2023-1479

基于矩阵扰动法和传感器优化配置的光伏阵列故障定位方法

  • 陈伟, 丁聪, 裴婷婷, 张馨尹
作者信息 +

PHOTOVOLTAIC ARRAY FAULT LOCATION METHOD BASED ON MATRIX PERTURBATION METHOD AND SENSOR OPTIMAL CONFIGURATION

  • Chen Wei, Ding Cong, Pei Tingting, Zhang Xinyin
Author information +
文章历史 +

摘要

针对现有光伏阵列故障定位方法难以同时考虑组件的定位精度与成本的问题,提出一种基于信息熵原理的传感器优化配置法和矩阵扰动法的光伏阵列故障定位方法。首先根据光伏系统在不同故障状态下的特征数值,通过基于信息熵的传感器配置方法布置传感器并获取光伏阵列侧的输出值;然后构建响应矩阵并将矩阵的迹与谱半径作为故障特征,以响应矩阵的迹与谱半径随光伏阵列输出值在不同故障状态下的对应关系准确定位故障的位置;最后通过实验和仿真对提出的传感器配置和矩阵扰动法进行验证,实验与仿真结果验证所提方法的可行性和有效性。

Abstract

Aiming at the problem that the existing fault location methods of photovoltaic array are difficult to consider the positioning accuracy and cost of components at the same time, a fault location method of photovoltaic array based on information entropy principle and matrix perturbation method is proposed. Firstly, according to the characteristic values of the photovoltaic system under different fault conditions, the sensors are arranged and the output values of the photovoltaic array side are obtained by the sensor configuration method based on information entropy. Then, the response matrix is constructed and the trace and spectral radius of the matrix are used as fault features. The corresponding relationship between the trace and spectral radius of the response matrix and the output value of the photovoltaic array under different fault conditions can accurately locate the fault location. Finally, the proposed sensor configuration and matrix perturbation method are verified by experiments and simulations. The experimental and simulation results verify the feasibility and effectiveness of the proposed method.

关键词

光伏系统 / 故障定位 / 传感器 / 最小二乘拟合 / 矩阵扰动

Key words

solar cell arrays / fault location / sensors / least squares fitting / matrix perturbation

引用本文

导出引用
陈伟, 丁聪, 裴婷婷, 张馨尹. 基于矩阵扰动法和传感器优化配置的光伏阵列故障定位方法[J]. 太阳能学报. 2025, 46(1): 641-653 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1479
Chen Wei, Ding Cong, Pei Tingting, Zhang Xinyin. PHOTOVOLTAIC ARRAY FAULT LOCATION METHOD BASED ON MATRIX PERTURBATION METHOD AND SENSOR OPTIMAL CONFIGURATION[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 641-653 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1479
中图分类号: TM615   

参考文献

[1] FERNÁNDEZ A, USAMENTIAGA R, DE ARQUER P, et al. Robust detection, classification and localization of defects in large photovoltaic plants based on unmanned aerial vehicles and infrared thermography[J]. Applied sciences, 2020, 10(17): 5948.
[2] HENRY C, POUDEL S, LEE S W, et al.Automatic detection system of deteriorated PV modules using drone with thermal camera[J]. Applied sciences, 2020, 10(11): 3802.
[3] 毛峡, 李亚豪. 光伏阵列故障检测中的无人机红外图像拼接[J]. 太阳能学报, 2020, 41(3): 262-269.
MAO X, LI Y H.Infrared image stitching of uav in fault detection of photovoltaic array[J]. Acta energiae solaris sinica, 2020, 41(3): 262-269.
[4] DHOKE A, SHARMA R, SAHA T K.An approach for fault detection and location in solar PV systems[J]. Solar energy, 2019, 194: 197-208.
[5] DHOKE A, SHARMA R, SAHA T K.A technique for fault detection, identification and location in solar photovoltaic systems[J]. Solar energy, 2020, 206: 864-874.
[6] SEVILLA-CAMACHO P Y, ZUÑIGA-REYES M A, ROBLES-OCAMPO J B, et al. A novel fault detection and location method for PV arrays based on frequency analysis[J]. IEEE access, 2019, 7: 72050-72061.
[7] MURTAZA A F, BILAL M, AHMAD R, et al.A circuit analysis-based fault finding algorithm for photovoltaic array under L-L/L-G faults[J]. IEEE journal of emerging and selected topics in power electronics, 2020, 8(3): 3067-3076.
[8] ANSARI S, SAMET H, GHANBARI T.Fault location in solar farms[J]. IEEE systems journal, 2021, 15(3): 4003-4012.
[9] MUSTAFA Z, AWAD A S A, AZZOUZ M, et al. Fault identification for photovoltaic systems using a multi-output deep learning approach[J]. Expert systems with applications, 2023, 211: 118551.
[10] MEHMOOD A, SHER H A, MURTAZA A F, et al.Fault detection, classification and localization algorithm for photovoltaic array[J]. IEEE transactions on energy conversion, 2021, 36(4): 2945-2955.
[11] KUMAR B P, PILLAI D S, RAJASEKAR N, et al.Identification and localization of array faults with optimized placement of voltage sensors in a PV system[J]. IEEE transactions on industrial electronics, 2021, 68(7): 5921-5931.
[12] PEI T T, LI L, ZHANG J F, et al.Module block fault locating strategy for large-scale photovoltaic arrays[J]. Energy conversion and management, 2020, 214: 112898.
[13] 贾嵘, 李云桥, 张惠智, 等. 基于改进BP神经网络的光伏阵列多传感器故障检测定位方法[J]. 太阳能学报, 2018, 39(1): 110-116.
JIA R, LI Y Q, ZHANG H Z, et al.Multi-sensor fault detection and positioning method of photovoltaic array based on improved bp neural network[J]. Acta energiae solaris sinica, 2018, 39(1): 110-116.
[14] 徐先峰, 李芷菡, 刘状壮, 等. 基于半监督学习标签传播-极端随机树算法的光伏阵列故障诊断及定位[J]. 电网技术, 2023, 47(3): 1038-1047.
XU X F, LI Z H, LIU Z Z, et al.Fault diagnosis and localization of photovoltaic arrays based on semi-supervised learning label propagation-extra tree algorithm[J]. Power system technology, 2023, 47(3): 1038-1047.
[15] 唐萁, 朱永强, 郝嘉诚. 基于传感器最优布置的光伏阵列阴影诊断与定位[J]. 太阳能学报, 2018, 39(2): 513-519.
TANG Q, ZHU Y Q, HAO J C.Shadow diagnosis and localization of pv array based on optimal sensor collocation[J]. Acta energiae solaris sinica, 2018, 39(2): 513-519.
[16] EDUN A S, LAFLAMME C, KINGSTON S R, et al.Finding faults in PV systems: supervised and unsupervised dictionary learning with SSTDR[J]. IEEE sensors journal, 2021, 21(4): 4855-4865.
[17] ELLIS H D, SALEH M U, KINGSTON S R, et al.A model for SSTDR signal propagation through photovoltaic strings[J]. IEEE journal of photovoltaics, 2020, 10(6): 1846-1852.
[18] 顾崇寅, 徐潇源, 王梦圆, 等. 基于CatBoost算法的光伏阵列故障诊断方法[J]. 电力系统自动化, 2023, 47(2): 105-114.
GU C Y, XU X Y, WANG M Y, et al.CatBoost algorithm based fault diagnosis method for photovoltaic arrays[J]. Automation of electric power systems, 2023, 47(2): 105-114.
[19] HUANG Y C, HUANG C M, CHEN S J, et al.Optimization of module parameters for PV power estimation using a hybrid algorithm[J]. IEEE transactions on sustainable energy, 2020, 11(4): 2210-2219.
[20] WILKINSON J H.The algebraic eigenvalue problem[M]. Oxford Clarendon, 1988: 62-64.
[21] SHANNON C E.A mathematical theory of communication[J]. Bell system technical journal, 1948, 27(4): 623-656.
[22] 张晓娜, 高德东, 刘海雄, 等. 一种新型光伏阵列多传感器故障检测定位方法[J]. 可再生能源, 2016, 34(2): 166-172.
ZHANG X N, GAO D D, LIU H X, et al.A noval method for multi-sensor fault detection and positioning of photovoltaic array[J]. Renewable energy resources, 2016, 34(2): 166-172.
[23] 赵靖英, 吴晶晶, 张雪辉, 等. 基于萤火虫扰动麻雀搜索算法-极限学习机的光伏阵列故障诊断方法研究[J]. 电网技术, 2023, 47(4): 1612-1625.
ZHAO J Y, WU J J, ZHANG X H, et al.Fault diagnosis of photovoltaic arrays based on sparrow search algorithm with firefly perturbation-extreme learning machine[J]. Power system technology, 2023, 47(4): 1612-1625.

基金

国家自然科学基金(51767017,51867015); 甘肃省基础研究创新群体项目(18JR3RA133); 甘肃省自然科学基金(21JR7RA258)

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