PARTICLE SWARM OPTIMIZATION FOR MPPT : SIMULATION AND ANALYSIS NOOR DZULAIKHA BINTI DAUD UNIVERSITI TEKNOLOGI MALAYSIA
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- Lydia Marsh
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1 PARTICLE SWARM OPTIMIZATION FOR MPPT : SIMULATION AND ANALYSIS NOOR DZULAIKHA BINTI DAUD UNIVERSITI TEKNOLOGI MALAYSIA
2 i PARTICLE SWARM OPTIMIZATION FOR MPPT : SIMULATION AND ANALYSIS NOOR DZULAIKHA BINTI DAUD A project report submitted in partial fulfilment of the requirements for the award of the degree of Master of Engineering (Electrical Power) Faculty of Electrical Engineering Universiti Teknologi Malaysia JUNE 2014
3 iii Dedicated to my beloved parents Daud bin Jusoh & Wan Zaharah binti Wan Mahmood Siblings Ahmad Dzulhazril bin Daud Noor Dzuliana binti Daud Ahmad Dzulhairi bin Daud Ahmad Dzulhakim bin Daud and All my friends in MEP programme for their support and encouragement
4 iv ACKNOWLEDGEMENT First and foremost, Syukur Alhamdulillah to Allah, the Most Gracious and Most Merciful for ensuring myself to be healthy to carry out my study and to complete this project. Secondly, I would like to express my warmest gratitude to my supportive supervisor, Dr. Shahrin Md Ayob who has provided immeasurable support and guidance toward the completion of my research project. His remarkable ideas and suggestions will be much appreciated in the long run of my career. My sincere appreciation also goes to my family especially my parents Daud bin Jusoh and Wan Zaharah binti Wan Mahmood who has been so tolerant and supportive in all years either morally or financially. Thanks for their continuous encouragement, love and emotional supports that they had given to me all this while. I also would like to gratefully thank to all my lecturer and all my friends who had given me helps technically and mentally throughout my journey in completing my project. Thanks a lot from the bottom of my heart. I wish you all the best in life and hope that our friendship will never last forever. Thank You. Wassalam
5 v ABSTRACT Energy conversion efficiency of solar photovoltaic (PV) is low. Maximum Power Point Tracking (MPPT) is one of the most economical ways to increase the efficiency of solar photovoltaic. The main function of this MPPT is to ensure the maximum power output extracted from the PV array. This project is to design Particle Swarm Optimization (PSO) algorithm as MPPT controller to extract maximum power from the PV module under normal shading conditions. The proposed technique for this project is based on the intelligence algorithm to control power output from the PV module and dc-dc power converter should be switched to obtain the maximum power output. The results show that the power oscillation at steady state is significantly diminished which can improve the PV conversion efficiency. The parameters of the PSO algorithm will be changed in order to see its tracking performance. Simulation of the PV module, PSO algorithm and dc-dc boost converter are done, using MATLAB-Simulink software. It is found that the change of PSO algorithm parameters gives the better result on the convergence speed and ability to find the optimum point.
6 vi ABSTRAK Kecekapan penukaran tenaga solar photovoltaic (PV) adalah rendah. Penjejakan Titik Kuasa Maksimum (MPPT) adalah salah satu cara yang paling ekonomi untuk meningkatkan kecekapan suria fotovoltan. Fungsi utama MPPT ini adalah untuk memastikan maksimum output kuasa diekstrak daripada PV. Projek ini adalah untuk membina Pengoptimum Kerumunan Zarah (PSO) algoritma sebagai pengawal MPPT untuk mengeluarkan kuasa maksimum daripada modul PV di dalam keadaan teduhan normal. Teknik yang dicadangkan untuk projek ini adalah berdasarkan kepada kecerdasan algoritma untuk mengawal kuasa output dari modul PV dan penukar kuasa dc-dc. Keputusan menunjukkan bahawa ayunan kuasa pada keadaan stabil adalah berkurangan secara ketara di mana boleh meningkatkan kecekapan penukaran PV. Parameter algoritma PSO ini diganti untuk melihat prestasi penjejakan. Simulasi modul PV, algoritma PSO dan penukar kuasa dc-dc selesai dengan menggunakan perisian MATLAB-Simulink. Daripada simulasi ini, didapati bahawa perubahan parameter algoritma PSO memberikan hasil yang lebih baik dalam halaju penumpuan dan kebolehan untuk mencari titik optimum.
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