A cyber-physical system approach for photovoltaic array monitoring and control

In this paper, we describe a Cyber-Physical system approach to Photovoltaic (PV) array control. A machine learning and computer vision framework is proposed for improving the reliability of utility scale PV arrays by leveraging video analysis of local skyline imagery, customized machine learning methods for fault detection, and monitoring devices that sense data and actuate at each individual panel. Our approach promises to improve efficiency in renewable energy systems using cyber-enabled sensory analysis and fusion.

[1]  Douglas L. Maskell,et al.  Automatic fault detection and diagnosis for photovoltaic systems using combined artificial neural network and analytical based methods , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

[2]  Katrien van Driessen,et al.  A Fast Algorithm for the Minimum Covariance Determinant Estimator , 1999, Technometrics.

[3]  Alfred O. Hero,et al.  Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure , 2014, IEEE Transactions on Signal Processing.

[4]  Alan Edelman,et al.  The Geometry of Algorithms with Orthogonality Constraints , 1998, SIAM J. Matrix Anal. Appl..

[5]  W. Boothby.  An introduction to differentiable manifolds and Riemannian geometry , 1975 .

[6]  V. Quaschning,et al.  Numerical simulation of current-voltage characteristics of photovoltaic systems with shaded solar cells , 1996 .

[7]  P. Rousseeuw.  Multivariate estimation with high breakdown point , 1985 .

[8]  Carlos F.M. Coimbra,et al.  Cloud-tracking methodology for intra-hour DNI forecasting , 2014 .

[9]  Nuno Vasconcelos,et al.  Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Marcelo Gradella Villalva,et al.  Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.

[11]  Karthikeyan Natesan Ramamurthy,et al.  A deep learning approach to multiple kernel fusion , 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[12]  Geoffrey J. McLachlan,et al.  Hierarchical Models for Screening of Iron Deficiency Anemia , 1999, ICML.

[13]  Elias Kyriakides,et al.  An 18 kW solar array research facility for fault detection experiments , 2016, 2016 18th Mediterranean Electrotechnical Conference (MELECON).

[14]  G. D. Gregory,et al.  The arc-fault circuit interrupter, an emerging product , 1998, 1998 IEEE Industrial and Commercial Power Systems Technical Conference. Conference Record. Papers Presented at the 1998 Annual Meeting (Cat. No.98CH36202).

[15]  Saeed Lotfifard,et al.  Modeling and Health Monitoring of DC Side of Photovoltaic Array , 2015, IEEE Transactions on Sustainable Energy.

[16]  Carlos F.M. Coimbra,et al.  Hybrid solar forecasting method uses satellite imaging and ground telemetry as inputs to ANNs , 2013 .

[17]  Nick Bosco.  Reliability Concerns Associated with PV Technologies , 2010 .

[18]  Henrik Madsen,et al.  Online short-term solar power forecasting , 2009 .

[19]  Anuj Srivastava,et al.  Bayesian and geometric subspace tracking , 2004, Advances in Applied Probability.

[20]  Sultan Alzahrani.  Matlab-Source-Code-An-Implementation-of-the-Expectation-Maximization-Algorithm v1 , 2016 .

[21]  M. Etezadi-Amoli,et al.  Practical approach for sub-hourly and hourly prediction of PV power output , 2010, North American Power Symposium 2010.

[22]  Shuyi Wei,et al.  Based on the Internet of things a self-cleaning solar power system of the household micro-grid , 2016, 2016 Chinese Control and Decision Conference (CCDC).

[23]  Andreas Spanias,et al.  Signal processing for fault detection in photovoltaic arrays , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[24]  Carlos F.M. Coimbra,et al.  A Smart Image-Based Cloud Detection System for Intrahour Solar Irradiance Forecasts , 2014 .

[25]  Andreas Spanias,et al.  Solar energy management as an Internet of Things (IoT) application , 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

[26]  Andreas Spanias,et al.  Robust Consensus in the Presence of Impulsive Channel Noise , 2014, IEEE Transactions on Signal Processing.

[27]  Andreas Spanias,et al.  Topology reconfiguration for optimization of photovoltaic array output , 2016 .

[28]  Rama Chellappa,et al.  Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[29]  Rushil Anirudh,et al.  A Generalized Lyapunov Feature for Dynamical Systems on Riemannian Manifolds , 2015 .

[30]  D. Collier,et al.  Photovoltaic system reliability , 1997, Conference Record of the Twenty Sixth IEEE Photovoltaic Specialists Conference - 1997.

[31]  Andreas Spanias,et al.  A brief survey of machine learning methods and their sensor and IoT applications , 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

[32]  Turaga Pavan,et al.  Direct classification from compressively sensed images via deep Boltzmann machine , 2016 .

[33]  H. Häberlin.  Measurement of Damages at Bypass Diodes by Induced Voltages and Currents in PV Modules Caused by Nearby Lightning Currents with Standard Waveform , 2008 .

[34]  Giuseppe Marco Tina,et al.  Analysis of forecast errors for irradiance on the horizontal plane , 2012 .

[35]  D. D Nguyen,et al.  Modeling and Simulation of Solar PV Arrays under Changing Illumination Conditions , 2006, 2006 IEEE Workshops on Computers in Power Electronics.

[36]  Stefano Soatto,et al.  Dynamic Textures , 2003, International Journal of Computer Vision.

[37]  G. Ippoliti,et al.  Solar irradiation forecasting using RBF networks for PV systems with storage , 2012, 2012 IEEE International Conference on Industrial Technology.

[38]  Mahesh K. Banavar,et al.  Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization , 2012, Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization.