The basic framework for tuning Genetic Algorithm (GA) is to bring the system to stable condition with proportional Integral controller for DC-DC converter (Buck -Boost Converter) which is applied to PV source. Due to its non-linear characteristics, the performance of the controller needs to be improved in order to improve its efficiency. The gating pulses of the converter uses Pulse Width Modulation (PWM) technique in order to reduce its THD level. The main purpose of PI controller is to bring down the large values of instabilities in the system response and to reduce steady state error which in turns improves the gain and accuracy. Genetic Algorithm (GA) is a search algorithm to solve optimization problems. The controller parameters are optimized to produce reasonable transient response without affecting the stable operation. Output voltage magnitude of DC–DC converter is either greater than or lesser than the input voltage magnitude. Variable DC voltage from PV panel is applied to DC – DC converter to get constant DC output voltage. The modelling of the Proposed system is modelled using MATLAB/SIMULINK and its results are verified.

调整遗传算法（GA）的基本框架是使用比例积分控制器（适用于光伏电源的DC-DC转换器（降压-升压转换器））使系统进入稳定状态。由于其非线性特性，需要提高控制器的性能以提高其效率。转换器的选通脉冲使用脉宽调制（PWM）技术以降低其THD电平。PI控制器的主要目的是降低系统响应中较大的不稳定性值，并减少稳态误差，从而提高增益和精度。遗传算法（GA）是用于解决优化问题的搜索算法。优化控制器参数以产生合理的瞬态响应，而不影响稳定的运行。DC-DC转换器的输出电压幅度大于或小于输入电压幅度。将来自光伏面板的可变直流电压施加到DC-DC转换器，以获得恒定的DC输出电压。拟议系统的建模使用MATLAB / SIMULINK进行建模，并验证其结果。