Improved particle swarm optimization based MPPT for PV systems under Partial Shading Conditions

In this work, an improved Particle Swarm Optimization (PSO) algorithm is employed to perform the Maximum Power Point Tracking (MPPT) of a 1.2 MW Photovoltaic farm under Partial Shading Conditions (PSC). High efficiency, low complexity and reduced tracking time are the main features achieved by integrating the ability to ensure a Global Maximum Power Point (GMPP) operation provided by PSO and the fast convergence of Perturb and Observe (P&O) algorithm. In addition, Sliding-Mode Control (SMC) is used on a cascade scheme on the DC-DC power converters in order to achieve a suitable energy conversion. Thus, the design of the SMC is achieved by using the space state representation of the power converters. Finally, photovoltaic system performance is analyzed for different solar radiation profiles. The obtained results show the proper dynamic and steady-state responses.

[1]  Vadim I. Utkin,et al.  Sliding mode control in electromechanical systems , 1999 .

[2]  Vanxay Phimmasone,et al.  The demonstration experiments to verify the effectiveness of the improved PSO-based MPPT controlling multiple photovoltaic arrays , 2013, 2013 IEEE ECCE Asia Downunder.

[3]  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.

[4]  Henry Shu-Hung Chung,et al.  A Prediction Model-Guided Jaya Algorithm for the PV System Maximum Power Point Tracking , 2018, IEEE Transactions on Sustainable Energy.

[5]  Wang Yunliang,et al.  Research of MPPT control method based on PSO algorithm , 2015, 2015 4th International Conference on Computer Science and Network Technology (ICCSNT).

[6]  Paulo Leica,et al.  A fixed-frequency Sliding-mode control in a cascade scheme for the Half-bridge Bidirectional DC-DC converter , 2016, 2016 IEEE Ecuador Technical Chapters Meeting (ETCM).

[7]  Paolo Tenti,et al.  Performance optimization of Cuk converters by sliding-mode control , 1992, [Proceedings] APEC '92 Seventh Annual Applied Power Electronics Conference and Exposition.

[8]  Thomas E. Marlin,et al.  Process Control: Designing Processes and Control Systems for Dynamic Performance , 1995 .

[9]  Kashif Ishaque,et al.  An Improved Particle Swarm Optimization (PSO)–Based MPPT for PV With Reduced Steady-State Oscillation , 2012, IEEE Transactions on Power Electronics.

[10]  B. Hajji,et al.  Comparative study of different MPPT methods for photovoltaic system , 2015, 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC).

[11]  Vadim I. Utkin,et al.  Sliding mode control of DC/DC converters , 2013, J. Frankl. Inst..

[12]  Pan Duan,et al.  Modeling and global MPPT for PV system under partial shading conditions using modified artificial fish swarm algorithm , 2016, 2016 IEEE International Symposium on Systems Engineering (ISSE).

[13]  Kinattingal Sundareswaran,et al.  Development of a hybrid genetic algorithm/perturb and observe algorithm for maximum power point tracking in photovoltaic systems under non-uniform insolation , 2015 .

[14]  Bidyadhar Subudhi,et al.  A grey wolf optimization based MPPT for PV system under changing insolation level , 2016, 2016 IEEE Students’ Technology Symposium (TechSym).

[15]  Asif Sabanovic,et al.  Design of a robust cascaded controller for Cuk converter , 2016, 2016 IEEE International Power Electronics and Motion Control Conference (PEMC).

[16]  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.

[17]  Ze Cheng,et al.  Research on MPPT control of PV system based on PSO algorithm , 2010, 2010 Chinese Control and Decision Conference.

[18]  Chun-Liang Liu,et al.  A comparative study on MPPT for photovoltaic generation systems , 2015, 2015 IEEE 2nd International Future Energy Electronics Conference (IFEEC).

[19]  Bidyadhar Subudhi,et al.  A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems , 2013, IEEE Transactions on Sustainable Energy.

[20]  Marie Weisz.  Process Control Designing Processes And Control Systems For Dynamic Performance , 2016 .