全局MPPT算法在局部阴影下的动态性能研究

摘要

Under the condition of partial shadow,the study of the traditional global maximum power tracking algorithm is usually conducted in static or light mutation.When the external environment is constantly changing,the study of its dynamic performance will be inadequate.In order to improve the dynamic performance of the global MPPT algorithm under the partial shadow,this paper puts forward a composite algorithm which is the combination of the power closed loop method and perturbation method of observation and improved cat swarm algorithm,this arithmetic effectively realizes the fast tracking of global maximum power point under the dynamic multimodal,and the simulation is used to verify the feasibility of the new algorithm,which improves the efficiency of photovoltaic power generation.%在局部阴影的条件下,对于传统的全局最大功率跟踪算法,通常只在静态或光照突变时进行研究.当外界环境持续变化时,其动态性能的研究就会存在不足.为了提高全局最大功率跟踪算法在局部阴影下的动态性能,文中提出了将功率闭环法与扰动观察法和改进的猫群算法结合的复合式算法,该算法有效实现了在动态多峰下快速跟踪全局最大功率点,并利用仿真验证了新算法的可行性,使光伏发电的效率有所提高.