Optimization of PV System Performance Under Partial Shading Conditions Using Hyper Sudoku Method
Document Type : Research Article
Authors
1 Electrical and Electronics Engineering Department, Ajay Kumar Garg Engineering, College, Ghaziabad, India
2 Electrical and Electronics Engineering Department, Ajay Kumar Garg Engineering College, Ghaziabad, India
3 Assistant Professor , College of Information Technology, Kingdom University Bahrain
4 Professor and Head, Department of Computer Science and Engineering, East West Institute of Technology, Bangalore
5 Department of Computer Science and Engineering, BGS Institute of Technology, Adichunchanagiri University , BG Nagara, Mandya district, Karnataka.
6 Professor in Computer Science & Engineering Department, IoT, Cyber Security & Blockchain Technology, Dean Research (R & D) - RRCE Campus, Rajarajeswari College of Engineering, Mysore Road, Kumbalgodu Post, Ramohalli Cross, Bangalore
Abstract
A key difficulty is maintaining consistent power output in a solar photovoltaic system during partial shading. Transient clouds, nearby buildings and trees, dust particles, and various elements partially obscure the PV modules. PV arrays subjected to uneven irradiation display inconsistent PV characteristics and experience mismatch losses in their modules. The resolution to these issues is to adjust panels to achieve improved results when dimmed. Therefore, using MATLAB/SIMULINK, analyze, compare, and explore several configurations, including Sudoku, Honeycomb, Series Parallel, Total Cross Tied, & Hyper Sudoku (HS). Through a simulation method, every configuration is evaluated and its functioning articulated. Every configuration is assessed, and its functionality is explained through a simulation method. The data indicated that the HS method yielded the highest output power at 14219W and achieved the peak efficiency at 10.12%. In the diagonal design, it outperformed all other configurations, achieving a fill factor of 0.455, while SP topology at 8160W had the highest ML and the lowest FF of 0.261.
Keywords
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