A Photovoltaic Model With Reduced Computational Time

Modeling partially shaded photovoltaic (PV) systems for online applications such as model-based MPPTs requires a PV circuit model with low computational time to simulate the large number of connected PV units within a reasonable amount of time. Unfortunately, the accurate PV models available in the literature are complex and suffer from high computational time due to their dependence on a transcendental implicit equation. This paper proposes a photovoltaic circuit model featuring lower computational time and comparable accuracy. The model utilizes the accuracy of the practical PV model and reduces the computational time by replacing the model series resistance with a third-degree-polynomial voltage-dependent source. The proposed model mimics the accurate characteristics of the practical model without being dependent on a transcendental implicit equation, thus providing low computational time. The model also introduces a new parameter to enhance the model's accuracy at low irradiance. The effectiveness of the model is shown by comparing the computational time and accuracy of the proposed model with those of the available models. A case study of partially shaded PV systems shows that the percentage of reduction in computational time improves with increases in the number of PV units in a simulated PV system, providing a clear advantage when simulating large PV systems.

[1]  P.-C. Hsu,et al.  Analytical modelling of partial shading and different orientation of photovoltaic modules , 2010 .

[2]  Chung-Yuen Won,et al.  Design and Application for PV Generation System Using a Soft-Switching Boost Converter With SARC , 2010, IEEE Transactions on Industrial Electronics.

[3]  Kinattingal Sundareswaran,et al.  MPPT of PV Systems Under Partial Shaded Conditions Through a Colony of Flashing Fireflies , 2014, IEEE Transactions on Energy Conversion.

[4]  Loredana Cristaldi,et al.  An Improved Model-Based Maximum Power Point Tracker for Photovoltaic Panels , 2014, IEEE Transactions on Instrumentation and Measurement.

[5]  G. Petrone,et al.  A model of photovoltaic fields in mismatching conditions featuring an improved calculation speed , 2013 .

[6]  T. Fuyuki,et al.  Analysis of multicrystalline silicon solar cells by modified 3-diode equivalent circuit model taking leakage current through periphery into consideration , 2007 .

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

[8]  VeeracharyM PSIM circuit-oriented simulator model for the nonlinear photovoltaic sources , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[9]  E. Koutroulis,et al.  A New Technique for Tracking the Global Maximum Power Point of PV Arrays Operating Under Partial-Shading Conditions , 2012, IEEE Journal of Photovoltaics.

[10]  Soteris A. Kalogirou,et al.  Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure , 2007 .

[11]  H. H. Zeineldin,et al.  A Simple Approach to Modeling and Simulation of Photovoltaic Modules , 2012, IEEE Transactions on Sustainable Energy.

[12]  Paolo Rosa-Clot,et al.  Field Experience With Performances Evaluation of a Single-Crystalline Photovoltaic Panel in an Underwater Environment , 2010, IEEE Transactions on Industrial Electronics.

[13]  Kay Soon Low,et al.  Optimizing photovoltaic model parameters for simulation , 2012, 2012 IEEE International Symposium on Industrial Electronics.

[14]  Alhussein Albarbar,et al.  Photovoltaic model with MPP tracker for standalone / grid connected applications , 2011 .

[15]  Alon Kuperman,et al.  Issues in Modeling Amorphous Silicon Photovoltaic Modules by Single-Diode Equivalent Circuit , 2014, IEEE Transactions on Industrial Electronics.

[16]  Mikihiko Matsui,et al.  A Correlation-Based Islanding-Detection Method Using Current-Magnitude Disturbance for PV System , 2011, IEEE Transactions on Industrial Electronics.

[17]  M. Vitelli,et al.  Analytical model of mismatched photovoltaic fields by means of Lambert W-function , 2007 .

[18]  Hamid A. Toliyat,et al.  High-Frequency AC-Link PV Inverter , 2014, IEEE Transactions on Industrial Electronics.

[19]  P. Rodriguez,et al.  Identification and maximum power point tracking of photovoltaic generation by a local neuro-fuzzy model , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[20]  Efstratios I. Batzelis,et al.  An Explicit PV String Model Based on the Lambert $W$ Function and Simplified MPP Expressions for Operation Under Partial Shading , 2014, IEEE Transactions on Sustainable Energy.

[21]  Carlos Andrés Ramos-Paja,et al.  A method for simulating large PV arrays that include reverse biased cells , 2014 .

[22]  Seddik Bacha,et al.  Cascaded DC–DC Converter Photovoltaic Systems: Power Optimization Issues , 2011, IEEE Transactions on Industrial Electronics.

[23]  A. Chatterjee,et al.  Identification of Photovoltaic Source Models , 2011, IEEE Transactions on Energy Conversion.

[24]  Mehmet Uzunoglu,et al.  Modeling, control and simulation of an autonomous wind turbine/photovoltaic/fuel cell/ultra-capacitor hybrid power system , 2008 .

[25]  Antonios G. Kladas,et al.  Fast Photovoltaic-System Voltage- or Current-Oriented MPPT Employing a Predictive Digital Current-Controlled Converter , 2013, IEEE Transactions on Industrial Electronics.

[26]  Carlos Andrés Ramos-Paja,et al.  A technique for mismatched PV array simulation , 2013 .

[27]  A. M. N. Lima,et al.  Combining Model-Based and Heuristic Techniques for Fast Tracking the Maximum-Power Point of Photovoltaic Systems , 2013, IEEE Transactions on Power Electronics.

[28]  Bruno Francois,et al.  Energy Management and Operational Planning of a Microgrid With a PV-Based Active Generator for Smart Grid Applications , 2011, IEEE Transactions on Industrial Electronics.

[29]  Cursino Brandão Jacobina,et al.  An Effective Induction Motor Control for Photovoltaic Pumping , 2011, IEEE Transactions on Industrial Electronics.

[30]  Weidong Xiao,et al.  Real-Time Identification of Optimal Operating Points in Photovoltaic Power Systems , 2006, IEEE Transactions on Industrial Electronics.

[31]  Filippo Attivissimo,et al.  Characterization and Testing of a Tool for Photovoltaic Panel Modeling , 2011, IEEE Transactions on Instrumentation and Measurement.

[32]  Kay-Soon Low,et al.  Photovoltaic Model Identification Using Particle Swarm Optimization With Inverse Barrier Constraint , 2012, IEEE Transactions on Power Electronics.

[33]  E. V. Paraskevadaki,et al.  Evaluation of MPP Voltage and Power of mc-Si PV Modules in Partial Shading Conditions , 2011, IEEE Transactions on Energy Conversion.

[34]  Weidong Xiao,et al.  A Parameterization Approach for Enhancing PV Model Accuracy , 2013, IEEE Transactions on Industrial Electronics.

[35]  V. Agarwal,et al.  MATLAB-Based Modeling to Study the Effects of Partial Shading on PV Array Characteristics , 2008, IEEE Transactions on Energy Conversion.

[36]  N. Jenkins,et al.  A model of PV generation suitable for stability analysis , 2004, IEEE Transactions on Energy Conversion.

[37]  Paolo Maffezzoni,et al.  Modeling and Simulation of a Hybrid Photovoltaic Module Equipped With a Heat-Recovery System , 2009, IEEE Transactions on Industrial Electronics.

[38]  E. Muljadi,et al.  A cell-to-module-to-array detailed model for photovoltaic panels , 2012 .

[39]  Kashif Ishaque,et al.  An improved modeling method to determine the model parameters of photovoltaic (PV) modules using differential evolution (DE) , 2011 .

[40]  C González-Morán,et al.  Improved model of photovoltaic sources considering ambient temperature and solar irradiation , 2009, 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE).