Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers

Abstract

The entire globe is now focused on generating power using solar photovoltaic (SPV) cells. The SPV is generating the DC power, by using power converters to satisfy the load requirement. In this article, a modified High-Voltage DC-DC converter was explained. The main intention of the modified converter is to decrease the reverse recovery currents and voltage stress across the switch, similarly, it generates high voltage at the converter output. The modified converter contains mainly-one diode, two capacitors, and Coupled Inductor (CI). When the converter switch comes under active state two capacitors are discharged in series, similarly when the converter switch under inactive state those two capacitors are charged in parallel through the coupled inductor (CI) energy so, to get a high voltage at the converter output side. To reuse the leakage-inductor (LI) energy of the CI with the help of a passive clamp circuit for reducing the voltage stress across the switch, similarly switch has less resistance so conduction losses also decreased. In this manner, the converter efficiency was improved and the diode recovery problem also solved. For the converter duty cycle controlling, Proportional-Integral (PI) and Neural Network (NN) controllers were used. The performance and analysis of the modified converter were described in detail with the help of both controllers. Here, 48 V is doubled to 400 V. By modifying the converter's parameters, its behavior is evaluated. In this converter, voltage spikes and reverse recovery currents should be minimal. The converter's switching pulse can be adjusted by PI or NN. The entire system was designed in MATLAB/ Simulink tool.