Performance Enhancement of PV System Configurations Under Partial Shading Conditions Using MS Method

IEEE Access

Rajvikram Madurai Elavarasan¹  Eklas Hossain²  R. K. Saket³  Aanchal Singh S. Vardhan³  Umashankar Subramaniam⁴  Akanksha Singh S. Vardhan⁵  Snigdha Sharma⁶  Lokesh Varshney⁶ 

[1] Clean and Resilient Energy Systems (CARES) Laboratory, Texas A&x0026;Department of Communications and Networks, Renewable Energy Laboratory, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia;Department of Electrical Engineering, Shri G. S. Institute of Technology and Science, Indore, India;Electrical Engineering Department, Indian Institute of Technology (BHU), Varanasi, India;M University, TX, USA;School of Electrical, Electronics and Communication, Galgotias University, Noida, India;

关键词: Efficiency;    Fill Factor;    Magic Square;    photovoltaic array;    SuDoKu;   

DOI  :  10.1109/ACCESS.2021.3071340

来源: DOAJ

【 摘 要 】

The study of this work is to highlight the key metrics of various topologies in terms of output power, Fill Factor (FF), Mismatch Losses (ML) and efficiency. The idea behind this work is to analyze and obtain the performance of different topologies under various shading patterns. The major problem which comes across the path of Photovoltaic (PV) system performance is partial shading. The solution to this problem is to reconfigure the panels to achieve better results under shading conditions. For this, different configurations such as Series Parallel (SP), Total Cross Tied (TCT), Physical Relocation of Module with Fixed Electrical Connections (PRM-FEC), SuDoKu and Magic Square (MS) has been discussed, analyzed and compared using MATLAB/SIMULINK. Simulation approach is used to describe the working and evaluation of all configurations. By the results obtained, it is clearly visible that MS method have achieved largest output power of 2877 W, highest efficieny of 10.24 %, FF is 0.481 and lowest ML of 772 W among all the configurations under Long Narrow (LnN) pattern.

【 授权许可】

Unknown