Research On Global MPPT Control For PV System Based On Firefly Algorithm

The development of renewable energy is an important issue in the world.Clean,sustainable and pollution-free are important symbol and requirement of renewable energy.Photovoltaic power generation is regarded as the most promising energy source in the future.At present,the efficiency of photovoltaic power generation is to limit its further development,and improving the efficiency of photovoltaic power generation is an important direction for development.Photovoltaic generation equipment is usually built outdoors,which are vulnerable to clouds,dust,shade and other shelter.The power–voltage(P-U)curve may exhibit multiple local maxima under this kind of situation.How to quickly and efficiently track the global maximum is one way to improve the efficiency.Based on the analysis of photovoltaic power generation background,this paper introduces and combs the research on the PV maximum power point tracking technology,and expounds the problem of PV maximum power tracking technology.The characteristics of PV array under shading condition and uniform illumination are analyzed.Under partial shading conditions,the power–voltage(P-U)curve may exhibit multiple local maxima.This makes it challenging to track the global maximum power point(GMPP).Additionally,in such conditions,traditional maximum power point tracking(MPPT)methods may get trapped in local maximum.This paper describes an adaptive population firefly algorithm(APFA)that can rapidly and accurately extract the GMPP under partial shading conditions.The algorithm introduces the concepts of the global and local firefly density during each iteration,and devises two elimination mechanisms to adaptively adjust the firefly population.Finally,the Simulink MPPT simulation system based on Boost circuit and experimental system are designed and built.Simulation and experimental results demonstrate that the APFA can immediately and accurately track the global maximum under partially shaded conditions,and that the proposed method outperforms conventional techniques in terms of tracking efficiency and speed.