Agrivoltaic (APV) systems, based on the co-location of solar panels and crops, are an innovative solution to land-use conflicts that often arise between agriculture and energy production. Their optimal functioning starts with efficient management and sharing of light between solar panels and underlying plants. This is where tracking systems come into play, as they offer the flexibility needed to strike a balance between energy production and crop growth. This thesis presents several tracking optimization techniques that focus on the availability and distribution of light. To simulate and analyze the performance of these strategies, a simulation model was created, with reference to a Fraunhofer ISE research project in Bavendorf, Germany where semi-transparent solar panels are installed over an apple orchard.