| Pub. Date | : July, 2023 |
|---|---|
| Product Name | : The IUP Journal of Electrical and Electronics Engineering |
| Product Type | : Article |
| Product Code | : IJEEE010723 |
| Author Name | : Sarveswara Prasad Revuru and Thiyagarajan Rathinam |
| Availability | : YES |
| Subject/Domain | : Engineering |
| Download Format | : PDF Format |
| No. of Pages | : 16 |
The paper makes a comparative study of the four Maximum Power Point Tracking (MPPT) algorithms used for Partial Shading Condition, Conservative MPP, Fast Terminal Sliding Mode (FTSM) controllers and under consistent shading circumstances. In addition, ANN, Kinetic Gas Molecule Optimization (KGMO) and FTSM MPPT are also included. A smart method is to use FTSM GWO algorithms under partly shadowed situations on a global MPP. The study includes a GWO methodology that successfully sets the efficient FTSM controller parameters such that the global maximum PV device powerpoint is monitored under partial shade. In the MATLAB setting and test performance, it is programmed for the suggested methodology of changing shade patterns dynamically. The findings are assessed and compared with ANN, KGMO and FTSM algorithms, and a more accurate method of monitoring the global MPP is found. The methods are also evaluated and contrasted in a PV array under various partial shadowing circumstances. Experimental effects are used to verify the control technique and stability analysis is performed based on the nonlinear method of analysis in the closed-loop design.
Several approaches are being utilized to maximize the energy from solar cells (Shahid, 2020). To improve the efficiency of the nanowire CdS/CdTe solar cell, Dang et al. (2015) used a 10 nm thick molybdenum oxide transparent layer. However, single and multiple axis solar trackers are also employed to improve solar insolation gathering (Shahid, 2018). Particle Swarm Optimization (PSO) (Alik and Jusoh, 2018) is one of the most used MPPT methods. Moshksar and Ghanbari (2018) examined Maximum Power Point Tracking (MPPT) based on PV panel and power converter parameters. It is important that the Perturb and Observe (P&O) method has low implementation costs. This method can effectively handle both steady and dynamic environmental variables such as temperature
Maximum Power Point Tracking (MPPT), Photovoltaic, Fast Terminal Sliding Mode (FTSM) Controller, Kinetic Gas Molecule Optimization (KGMO), Interleaved boost converter