AN IMPROVED PERTURBATION AND OBSERVATION BASED MAXIMUM POWER POINT TRACKING METHOD FOR PHOTOVOLTAIC SYSTEMS
DOI:
https://doi.org/10.11113/jt.v78.8887Keywords:
Perturb and observe algorithm, maximum power tracking, photovoltaicAbstract
In photovoltaic (PV) system, maximum power tracking (MPPT) is crucial to improve the system performance. Irradiance and temperature are the two important parameters that affect MPPT. The conventional perturbation and observation (P&O) based MPPT algorithm does not accurately track the PV maximum power point. Therefore, this paper presents an improved P&O algorithm (Im-P&O) based on variable perturbation. The idea behind the Im-P&O algorithm is to produce variable step changes in the reference current/voltage for fast tracking of the PV maximum power point. The Im-P&O based MPPT is designed for the 25 SolarTIFSTF-120P6 PV panels, with a capacity of 3 kW peak. A complete PV system is modeled using the MATLAB/Simulink. Simulation results showed that the Im-P&O based MPPT achieved faster and accurate performance compared with the conventional P&O algorithm.
References
Abdmouleh, Z. Alammari, R. A. M. Gastli, A. 2015. Review Of Policies Encouraging Renewable Energy Integration & Best Practices. Renewable and Sustainable Energy Reviews. 45: 249–262.
Daud, M. Z. Mohamed, A. Ibrahim, A. A. and Hannan, M.A. 2014. Heuristic Optimization Of State-Of-Charge Feedback Controller Parameters For Output Power Dispatch Of Hybrid Photovoltaic/Battery Energy Storage System. Measurement. 49: 15–25.
Mat Su, A. S. Abd Ghani R. Slamet. 2014. Modelling and Simulation of Boost Converter with Maximum Power Point Tracking (MPPT) for Photovoltaic Application. Jurnal Teknologi. 71(5): 1–4
Esram, T. and Chapman, P.L. 2007. Comparison Of Photovoltaic Array Maximum Power Point Tracking Techniques. IEEE Transactions on Energy Conversion. 22: 439–449.
Zhou, T. and Sun, W. 2015. Study On Maximum Power Point Tracking Of Photovoltaic Array In Irregular Shadow. Electrical Power & Energy Systems. 66: 227–234.
Mamarelis, E. Petrone, G. and Spagnuolo, G. 2014. A Two-Steps Algorithm Improving The P&O Steady State MPPT efficiency. Applied Energy. 113:414–421.
Kjaer, S. B. 2012. Evaluation of the Hill Climbing†and the “Incremental Conductance Maximum Power Point Tracking for Photovoltaic Power Systems. IEEE Transactions on Energy Conversion. 17: 922–929.
Tey, K. S. and Mekhilef, S. 2014. Modified Incremental Conductance MPPT Algorithm To Mitigate Inaccurate Responses Under Fast-Changing Solar Irradiation Level. Solar Energy. 101: 333–342.
Altin, N. and Ozdemir, S. 2013. Three-Phase Three-Level Grid Interactive Inverter With Fuzzy Logic Based Maximum Power Point Tracking Controller. Energy Conversion and Management. 69: 17–26.
Liu, Y. H. Liu, C. L. Huang, J.W. and Chen, J. H. 2013. Neural-Network-Based Maximum Power Point Tracking Methods For Photovoltaic Systems Operating Under Fast Changing Environments. Solar Energy. 89: 42–53.
Letting,L. K. Munda, J. L. and Hamam, Y. 2012. Optimization Of A Fuzzy Logic Controller For PV Grid Inverter Control Using S-Function Based PSO. Solar Energy. 86: 1689–1700.
Sang-Hoon, P. Gil-Ro, C. Yong-Chae, J. and Chung-Yuen, W. 2010. Design and application for PV generation system using a soft-switching boost converter with SARC. IEEE Transactions on Industrial Electronics. 57: 515–522.s
Ali, J. A. Hannan, M.A. and Mohamed, A. 2015. Rule-based Fuzzy and V/f Control for Induction Motor Speed Responses Using SVPWM Switching Technique. Przegląd Elektrotechniczny. 91(30): 133–136.
Mutlag, A. H. Shareef, H. Mohamed, A. Hannan, M. A. and Ali, J. A. 2014. An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization. International Journal of Photoenergy. 1(1): 1–15.
Subiyanto, Mohamed, A. and Shareef H. 2011. Hopfield Neural Network Optimized Fuzzy Logic Controller for MaximumPower Point Tracking in a Photovoltaic System. International Journal of Photoenergy. 1(1): 1–14.
Benyoucef, A. Chouder, A. Kara, K. and Silvestre, S. 2015. Artificial Bee Colony Based Algorithm For Maximum Power Point Tracking (MPPT) for PV systems operating under Partial Shaded Conditions. Applied Soft Computing. 32: 38–48.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
