The output of renewable energy is the power of low voltage and high current rated designs. Due to the output voltage being too low it does not meet the required maximum voltage load requirements. Therefore, in order to meet the high voltage load, the required limit of the power converter (DC-DC) is used to increase the voltage to the maximum. . The DC output voltage from a renewable energy source is given as input to a DC-DC converter, and the output generated from the converter is used to drive a load. KY boost converter is one of the recently developed DC-DC converters to reduce output voltage ripple. It is suitable for operation in equipment to below low ripple conditions. The disadvantage of this converter is that the boost voltage is a very low design parameter. To obtain the desired boosted voltage, and also to reduce the output voltage ripple, an optimized algorithm is used. Compared with the existing Drosophila optimization technology, the proposed Adaptive Vector Reference Control (AVRC) Method has higher convergence characteristics and lower output ripple. The simulation results are verified by MATLAB simulation with hardware results. The hardware is developed using the Xilinx FPGAs SPARTAN 6A controller, which simplifies the XC3S500E development board prototype in addition to providing additional flexibility for further improvements. The results clearly show improved performance and validate the model.

可再生能源的输出是低压和大电流额定设计的功率。由于输出电压太低，无法满足所需的最大电压负载要求。因此，为了满足高电压负载，需要使用功率转换器（DC-DC）的极限来将电压增加到最大。。来自可再生能源的直流输出电压作为输入提供给DC-DC转换器，并且转换器产生的输出用于驱动负载。KY升压转换器是最近开发的减少输出电压纹波的DC-DC转换器之一。它适合在低纹波条件下在设备中运行。该转换器的缺点是升压电压是非常低的设计参数。为了获得所需的升压电压，为了减少输出电压纹波，使用了优化算法。与现有的果蝇优化技术相比，提出的自适应矢量参考控制（AVRC）方法具有更高的收敛特性和更低的输出纹波。通过硬件仿真，通过MATLAB仿真验证了仿真结果。该硬件是使用Xilinx FPGA SPARTAN 6A控制器开发的，该控制器简化了XC3S500E开发板的原型，此外还提供了进一步改进的灵活性。结果清楚地显示了改进的性能并验证了模型。通过硬件仿真，通过MATLAB仿真验证了仿真结果。该硬件是使用Xilinx FPGA SPARTAN 6A控制器开发的，该控制器简化了XC3S500E开发板的原型，此外还提供了进一步改进的灵活性。结果清楚地显示了改进的性能并验证了模型。通过硬件仿真，通过MATLAB仿真验证了仿真结果。该硬件是使用Xilinx FPGA SPARTAN 6A控制器开发的，该控制器简化了XC3S500E开发板的原型，此外还提供了进一步改进的灵活性。结果清楚地显示了改进的性能并验证了模型。