Implementation of different MPPT techniques in solar PV tree under partial shading conditions

¹ Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore - 641021
² Department of Civil Engineering, Karpagam College of Engineering, Coimbatore - 641032
³ Department of Structurals Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq; Department of Structurals Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq; Department of Structurals Techniques Engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq
⁴ Assistant Professor, Department of CSE, CMR Institute of Technology, Hyderabad
⁵ Department of Mechanical, GRIET, Hyderabad, Telangana, India.

^* Corresponding author: krishnakumar.athithan@kahedu.edu.in

Abstract

This study frames the plan and gives an enlightening exhibit of the proposed photovoltaic autonomous system in view of daylight under fluctuating natural circumstances. The special PV-tree structure in view of daylight, the most outrageous power point following (MPPT) procedure, and the DC converter make up the recommended system. The sun based controlled PV tree creates low voltage thus. To propel the expected estimation of voltage level, a DC help converter is used. In this paper, different MPPT parts, like irritation and notice (P&O), consistent conductance (INC), and a twisting reason capacity association (RBFN)- based cerebrum association (NN), are utilized to get the legitimate commitment cycle for isolating the ideal power from the sun-situated PV tree. Through ceaseless application and MATLAB/SIMULINK programming, the expected sun oriented controlled photovoltaic tree-based energy assortment system is acknowledged. The similar examination of the three recently depicted strategies’ entertainment eventual outcomes exhibits the appropriateness of the proposed system comparable to RBFN. Contrasted with the P&O strategy and the INK approach, the RBFN-MPPT gives a critical improvement in following capability of 6.0% and 5.72% at 1000 W/m2 irradiance condition. It very well may be concluded from the propagation and steady outcomes that, in contrast with the other two calculations, the RBFN-based NN gives predominant following capability and less faltering.