Investigation on Photovoltaic Array Modeling and the MPPT Control Method under Partial Shading Conditions

On the basis of a five-parameter photovoltaic (PV) mathematical model, a multipeak output model of a PV array under partial shading conditions (PSCs) is obtained by MATLAB simulation. Simulation and experimental results demonstrate that the model can simulate the performance curves of the PV array under the PSCs. Optimized particle swarm optimization (OPSO) is used to control the multipeak output model that can quickly and accurately track the global maximum power point (GMPP) of PV modules under PSCs. Its main idea is to determine the initial position of particles and remove the acceleration factor and random number in traditional particle swarm optimization (PSO) algorithm. Additionally, according to the distance between two consecutive peak points, the maximum value of velocity is obtained. The advantages of the OPSO include the following: compared with the traditional PSO algorithm, the computing time is greatly shortened; and it is easy to achieve the MPPT with a low-cost microprocessor. In addition, a PV optimizer is designed to improve the output power of PV modules under PSCs, and simulation and experimentation have compared the output characteristics of PV modules in traditional control mode and optimized control mode under PSCs. The experimental results show that the PV optimizer improves the output power of the PV modules by 13.4% under the PSC.

[1]  Dimas Aji Nugraha,et al.  A Novel MPPT Method Based on Cuckoo Search Algorithm and Golden Section Search Algorithm for Partially Shaded PV System , 2019, Canadian Journal of Electrical and Computer Engineering.

[2]  Leonardo Poltronieri Sampaio,et al.  Comparative analysis of MPPT algorithms bio‐inspired by grey wolves employing a feed‐forward control loop in a three‐phase grid‐connected photovoltaic system , 2019, IET Renewable Power Generation.

[3]  W. Herrmann,et al.  Thermal and electrical effects caused by outdoor hot‐spot testing in associations of photovoltaic cells , 2003 .

[4]  Russell C. Eberhart,et al.  Tracking and optimizing dynamic systems with particle swarms , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[5]  Aleck W. Leedy,et al.  A constant voltage maximum power point tracking method for solar powered systems , 2011, 2011 IEEE 43rd Southeastern Symposium on System Theory.

[6]  Saad Mekhilef,et al.  State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review , 2016 .

[7]  D. Petreus,et al.  A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading , 2014 .

[8]  Marcello Chiaberge,et al.  An intelligent control strategy of fractional short circuit current maximum power point tracking technique for photovoltaic applications , 2015 .

[9]  Vivek Agarwal,et al.  Global maximum power point tracking of PV arrays under partial shading conditions using a modified particle velocity-based PSO technique , 2017 .

[10]  Yi-Hua Liu,et al.  A Novel and Fast MPPT Method Suitable for Both Fast Changing and Partially Shaded Conditions , 2018, IEEE Transactions on Industrial Electronics.

[11]  Anula Khare,et al.  A review of particle swarm optimization and its applications in Solar Photovoltaic system , 2013, Appl. Soft Comput..

[12]  Saad Mekhilef,et al.  Simulation and Hardware Implementation of Incremental Conductance MPPT With Direct Control Method Using Cuk Converter , 2011, IEEE Transactions on Industrial Electronics.

[13]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[14]  Tao Yu,et al.  Memetic reinforcement learning based maximum power point tracking design for PV systems under partial shading condition , 2019, Energy.

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

[16]  Tao Yu,et al.  Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition , 2019, Journal of Cleaner Production.

[17]  Vivek Agarwal,et al.  Maximum Power Point Tracking Scheme for PV Systems Operating Under Partially Shaded Conditions , 2008, IEEE Transactions on Industrial Electronics.

[18]  Fangming Zhu,et al.  An Improved Particle Swarm Optimization Algorithm Suitable for Photovoltaic Power Tracking Under Partial Shading Conditions , 2019, IEEE Access.

[19]  Yu Zhang,et al.  Development of a new compound method to extract the five parameters of PV modules , 2014 .

[20]  Jubaer Ahmed,et al.  An Effective Hybrid Maximum Power Point Tracker of Photovoltaic Arrays for Complex Partial Shading Conditions , 2019, IEEE Transactions on Industrial Electronics.

[21]  Fei Xue,et al.  Combining incremental conductance and firefly algorithm for tracking the global MPP of PV arrays , 2017 .

[22]  Yunlian Sun,et al.  A Modified Hybrid Maximum Power Point Tracking Method for Photovoltaic Arrays Under Partially Shading Condition , 2019, IEEE Access.

[23]  F. Martinez-Moreno,et al.  Experimental model to estimate shading losses on PV arrays , 2010 .

[24]  Pragyanshree Samantaray,et al.  Performance of solar photovoltaic module under partial shading conditions , 2016, 2016 10th International Conference on Intelligent Systems and Control (ISCO).

[25]  B. Zahawi,et al.  Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques for PV Pumping Applications , 2012, IEEE Transactions on Sustainable Energy.

[26]  Chung-Yuen Won,et al.  A Real Maximum Power Point Tracking Method for Mismatching Compensation in PV Array Under Partially Shaded Conditions , 2011, IEEE Transactions on Power Electronics.

[27]  Tao Yu,et al.  Dynamic leader based collective intelligence for maximum power point tracking of PV systems affected by partial shading condition , 2019, Energy Conversion and Management.

[28]  S. Mekhilef,et al.  Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems Under Partial Shading Conditions and Load Variation , 2018, IEEE Transactions on Industrial Informatics.

[29]  R. Teodorescu,et al.  On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems , 2013, IEEE Journal of Photovoltaics.

[30]  Chris Deline,et al.  Partially shaded operation of a grid-tied PV system , 2009, 2009 34th IEEE Photovoltaic Specialists Conference (PVSC).

[31]  K. L. Lian,et al.  A Modified Firefly Algorithm for Photovoltaic Maximum Power Point Tracking Control Under Partial Shading , 2017, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[32]  Mohammad A.S. Masoum,et al.  Impact of partial shading on voltage- and current-based maximum power point tracking of solar modules , 2010, IEEE PES General Meeting.

[33]  Bidyadhar Subudhi,et al.  A Grey Wolf-Assisted Perturb & Observe MPPT Algorithm for a PV System , 2017, IEEE Transactions on Energy Conversion.

[34]  Xinghuo Yu,et al.  An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System Under Partial Shading , 2019, IEEE Transactions on Industrial Electronics.

[35]  Yang Guangyou,et al.  A Modified Particle Swarm Optimizer Algorithm , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[36]  Jasbir S. Arora,et al.  Introduction to Optimum Design , 1988 .

[37]  Zhen Zhang,et al.  Characteristic output of PV systems under partial shading or mismatch conditions , 2015 .

[38]  M. A. Danandeh,et al.  Comparative and comprehensive review of maximum power point tracking methods for PV cells , 2018 .

[39]  Kok Soon Tey,et al.  Modified Incremental Conductance Algorithm for Photovoltaic System Under Partial Shading Conditions and Load Variation , 2014, IEEE Transactions on Industrial Electronics.

[40]  M. Seyedmahmoudian,et al.  Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method , 2015, IEEE Transactions on Sustainable Energy.

[41]  Seddik Bacha,et al.  Reducing Mismatch Losses in Grid-Connected Residential BIPV Arrays Using Active Power Conversion Components , 2010 .

[42]  D. Baimel,et al.  Novel optimized method for maximum power point tracking in PV systems using Fractional Open Circuit Voltage technique , 2016, 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM).