Improved Algorithm for Solar Power Systems for Efficient Tracking System

Current evaluation of a pilot concentrated solar energy plant found that the monitoring technology was unable to precisely align the complex heliostats with the sun and direct the sunlight onto the goal. The inability of concentrating solar energy monitoring systems to both increase precision & lower operating costs was shown by a subsequent examination of solar tracking devices. A computers vision solar tracking systems is presented and put into practice in this work. It consists of vision controllers, camera, light sensors, Arduino microprocessor, two stepping motor, sticks, and a transparency plate. The light sensors determine whether sunlight is present, the webcam records a picture of the stick’s shadows on the plate, & the sight processor interprets this information in order to derive the sun inclinations. The microprocessor receives the angle and uses them to properly position the heliostat using stepper motor. The suggested system may be put in a single heliostat or a collection of heliostats & is site independently. It follows the sun correctly and costs little to operate, according to initial testing.