A Model for SSTDR Signal Propagation Through Photovoltaic Strings

The ability of spread spectrum time domain reflectometry (SSTDR) to detect and locate faults in photovoltaic (PV) systems is considered in this article. This article provides a simulation that could be used for studying how faults and other parameters affect the reflectometry response and evaluating fault detection algorithms, for providing comparison simulations in iterative inversion algorithms used to detect and locate faults, or it could potentially be used to replace the measured baseline for these algorithms. The simulation uses an enhanced systematic solution procedure to find the reflection signature of the PV system, and is capable of modeling elements with complex impedance in both series and parallel separated by transmission lines. This article is an expansion of previous work to be capable of simulating systems containing n number of elements (such as PV panels and transmission lines) in series or parallel. The simulation was tested for 20 systems containing up to four resistors, capacitors, and PV cells, and was compared to the measured data.

[1]  Yong-June Shin,et al.  Fault Diagnosis for Electrical Systems and Power Networks: A Review , 2021, IEEE Sensors Journal.

[2]  Claudia Buerhop,et al.  Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules: A review of research and future challenges , 2016 .

[3]  Cynthia Furse,et al.  Signal Propagation Through Piecewise Transmission Lines for Interpretation of Reflectometry in Photovoltaic Systems , 2019, IEEE Journal of Photovoltaics.

[4]  Cynthia Furse,et al.  Why the DFT is faster than the FFT for FDTD time-to-frequency domain conversions , 1995 .

[5]  Joel B. Harley,et al.  An Overview of Spread Spectrum Time Domain Reflectometry Responses to Photovoltaic Faults , 2020, IEEE Journal of Photovoltaics.

[6]  Meng-Hui Wang,et al.  Modeling and fault diagnosis of a photovoltaic system , 2008 .

[7]  Jay Johnson,et al.  An Irradiance-Independent, Robust Ground-Fault Detection Scheme for PV Arrays Based on Spread Spectrum Time-Domain Reflectometry (SSTDR) , 2018, IEEE Transactions on Power Electronics.

[8]  S. Sulaiman,et al.  Analysis of wave propagation in Time Domain Reflectometry circuit simulation model , 2010, 2010 IEEE International Conference on Power and Energy.

[9]  Moussa Kafal Baselining: A Critical Approach Used for Soft Fault Detection in Wire Networks , 2018 .

[10]  K. Kunz,et al.  A frequency-dependent finite-difference time-domain formulation for transient propagation in plasma , 1991 .

[11]  Dennis M. Sullivan,et al.  Frequency-dependent FDTD methods using Z transforms , 1992 .

[12]  A. T. Yang,et al.  Interconnect characterization using time-domain reflectometry , 1995 .

[13]  Cynthia Furse,et al.  A critical comparison of reflectometry methods for location of wiring faults , 2006 .

[14]  R. Mittra,et al.  Scattering parameter transient analysis of transmission lines loaded with nonlinear terminations , 1988 .

[15]  C. Furse,et al.  Analysis of spread spectrum time domain reflectometry for wire fault location , 2005, IEEE Sensors Journal.

[16]  Nicolas Ravot,et al.  A Simple and Accurate Model for Wire Diagnosis Using Re∞ectometry , 2007 .

[17]  Christos Christopoulos,et al.  The Transmission-Line Modeling (TLM) Method in Electromagnetics , 2006, The TLM Method in Electromagnetics.

[18]  Jay Johnson,et al.  A Comprehensive Review of Catastrophic Faults in PV Arrays: Types, Detection, and Mitigation Techniques , 2015, IEEE Journal of Photovoltaics.

[19]  Joel B. Harley,et al.  Detection and Localization of Disconnections in PV Strings Using Spread-Spectrum Time-Domain Reflectometry , 2020, IEEE Journal of Photovoltaics.

[20]  A. T. Yang,et al.  Interconnect characterization using time domain reflectometry , 1994, Proceedings of 1994 IEEE Electrical Performance of Electronic Packaging.

[21]  C. Furse,et al.  The invisible fray: a critical analysis of the use of reflectometry for fray location , 2006, IEEE Sensors Journal.

[22]  William E. Sabin The Hilbert Transform , 2007 .

[23]  Jay Johnson,et al.  PV arc-fault detection using spread spectrum time domain reflectometry (SSTDR) , 2014, 2014 IEEE Energy Conversion Congress and Exposition (ECCE).

[24]  C. Furse,et al.  Advanced Forward Methods for Complex Wire Fault Modeling , 2013, IEEE Sensors Journal.

[25]  F. Ulaby Fundamentals of applied electromagnetics , 1998 .

[26]  M. U. Saleh,et al.  FAST TRANSIENT SIMULATIONS FOR MULTI-SEGMENT TRANSMISSION LINES WITH A GRAPHICAL MODEL , 2019, Progress In Electromagnetics Research.

[27]  Cynthia Furse,et al.  The use of the frequency-dependent finite-difference time-domain method for induced current and SAR calculations for a heterogeneous model of the human body , 1994 .

[28]  Zhengming Zhao,et al.  Grid-connected photovoltaic power systems: Technical and potential problems—A review , 2010 .

[29]  Jun Chen,et al.  Piecewise linear model for transmission line with capacitive loading and ramp input , 2005, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[30]  Jay Johnson,et al.  PV ground-fault detection using spread spectrum time domain reflectometry (SSTDR) , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[31]  Jay Johnson,et al.  Creating dynamic equivalent PV circuit models with impedance spectroscopy for arc fault modeling , 2011, 2011 37th IEEE Photovoltaic Specialists Conference.

[32]  Cynthia Furse,et al.  Postprocessing for Improved Accuracy and Resolution of Spread Spectrum Time-Domain Reflectometry , 2019, IEEE Sensors Letters.