Battery life time aware improved tracking methodology for solar photovoltaic cells

Abstract

newline Solar tracking plays a vital role in the electricity generation from the solar lights. Solar panels generate the energy based on the light intensity, electromagnetic radiation and the load level given to them. To improve the energy productivity rate, solar panel needs to be moved and fixed in the correct angle to observe the sun light. However, deciding the angle and place of the solar panels is most difficult task where the sun is moving from day to night continuously. In the proposed research novel tracking system is implemented which focus to track the sun moving behaviour and the energy productivity rate based on which angle and location of the solar panels would be decided optimally. Hybridized Improved Genetic algorithm with Differential Evolution Function (HIG-DEF) for the optimal decision of angle and location of the solar panels is the first proposed methodology. This proposed methodology would evaluate the fitness value adaptively based on past, present and future heuristic information. Thus the optimal and accurate identification of angle and location can be found.