AI Based Tagging the Optimal Power Point of a Solar Photovoltaic Using Artificial Bee Colony (ABC) Optimization Algorithm

Power from the grid is a key factor in human progress. Renewable energy sources are gaining popularity as a technique to generate electricity because they have no negative impact on the environment. Relying on aspects such as location, tilt, weather, and other such considerations, solar panels can convert power anywhere from 15% to 22% of solar radiation into usable electricity. The efficiency of solar panels is measured by how much sunshine they are able to convert into usable power, a concept known as “performance.” Therefore, optimising PV systems to draw as much power as possible is essential for making them more efficient. In order to achieve MPPT with a DC chopper in a photovoltaic (PV) system, the ABC technique is proposed here. By analysing the PV module data, the ABC MPPT algorithm can determine the best voltage by analysing the P-V curve. Next, the proposed method is employed to acquire the external PI loop's reference voltage, which then provides the reference current for the anticipatory digital programmed regulation.