Application of Fuzzy Logic and Immune Response Feedback for PV Generating System

The output characteristics of photovoltaic generating system are non-linear and time-varying with the changing of weather, i.e. irradiation, temperature. A high-efficiency maximum power point tracking method is very important to costly photovoltaic. The conventional maximum power point tracking control method track the maximum power point is achieved by using the DC/DC circuit and constant voltage or incremental conductance or perturbation and observation method, but the output characteristics is bad due to the vibration range of photovoltaic output by using DC/DC circuit is big. The immune response feedback principle is used to improve the output characteristics of photovoltaic generation system in this paper. The simulation shows that the output vibration range is diminished by using the immune response feedback principle, and the response speed is rapid during the maximum power point tracking course, and anti-jamming ability is improved.