The Research Of Solar Street Lighting Intelligent Control System

With the exhaustion of fossil fuels, the energy crisis and bad environmental pollution is worsening, solar energy as an inexhaustible, renewable and clean energy,with the substitution of fossil energy has an important significance. Solar street lighting system as a way of utilizing solar energy, is widely used lighting. Due to battery life is often less than the design requirements and it is the weakest link in the entire system. So, to strengthen energy management, especially for battery charge and discharge control is particularly important. Furthermore, the current controller's strategy is single and the discharge time is short, can't be sustained discharge under continuous rainy days or cold environments. Therefore, to develop a controller which has efficient energy management and high degree of intelligence has extensive application value.To be able to efficiently charge the battery, this project analyzes the maximum power point tracking(MPPT) technology on the basis of solar photovoltaic cells and lead-acid batteries mathematical model, In addition, the controller for the current discharge policy unscientific, difficult to freely respond to a situation of continuous rainy days or cold weather, this paper analyzes the factors deeply on the time of lighting systems, such as the ambient temperature, the remaining power of battery,weather conditions and so on, and gives a solution based on artificial neural network algorithm.This paper presents a mathematical model based on improved ant colony algorithm-BP network, and has a mathematical analysis for the model. We have applied this model to the proposed discharge control strategy and verified the accuracy of this model by MATLAB simulation. Then, set up a control experiment platform based on Atmega8 L, it includes: Buck charging circuit,driving circuit and other peripheral circuits and to meet the functional requirements of the corresponding software program.Finally, we have a comparison between the controller of designed in this subject and the RYS-JK71 controller which is designed by the moon rise technology company in Beijing, according to test results, the MPPT controller which is optimized on the charging efficiency is higher than RYS-JK71 controller, and in consecutive rainy days, cold weather conditions, the discharge time longer than the present controller RYS-Jk71 about 1/3, it is clear that the controller of this project has better adaptability.