Design and Simulation MPPT on Photovoltaic using Locust Swarm Algorithm

Photovoltaic is a renewable energy source that offers many advantages such as without the need for fossil fuels, produces no pollution, low maintenance costs and does not produce noise. The amount of electrical energy produced by photovoltaic depends on the small amount of irradiation, temperature, obstruction, and slope angle. In addition to having advantages, photovoltaic has its disadvantages, namely the amount of current and output voltage of photovoltaic values change depending on changes in the intensity of sunlight or irradiation, so that the power supplied to the load is no longer at maximum conditions. To solve the current and voltage in photovoltaic which changes due to changes in the intensity of sunlight and temperature, a Technique is needed to optimize the photovoltaic output using Maximum Power Point Tracking (MPPT). One of method random search optimization technique is Locust Swarm Algorithm. MPPT made using DC-DC SEPIC Converter with Locust Swarm Algorithm. By Applying Locust Swarm Algorithm MPPT can search optimal Photovoltaic Output 100 Wp that Connect With SEPIC Converter with high Accuracy and Fast Converge time. Based on simulation result MPPT with Locust Swarm Algorithm have 99.99% Accuracy and converge at 0.81s.