摘要
作为一种绿色清洁能源的利用方式,光伏发电越来越受到人们关注,最大功率点跟踪技术的应用能够提高光伏电池发电效率.传统的扰动观察法在外界环境变化剧烈时,会有误追踪现象,导致光伏发电效率降低.为解决这一问题,提出一种新型扰动观察法,该算法与传统扰动观察法相比,增加了恒压估计环节,用以补偿因外界环境改变带来的功率差,提高跟踪精度.最后在Matlab/Simulink中搭建光伏电池仿真模型,仿真结果验证了该算法在外界环境发生剧烈变化时,具有较高的跟踪精度与较快的跟踪速度.
As a green and clean energy utilization method,photovoltaic power generation has attracted more and more attention.The maximum power point tracking technology(MPPT) can effectively improve the efficiency of photovoltaic power generation.The traditional perturbation and observation method will mistrack,when the external environment changes dramatically,resulting in the reduced efficiency of photovoltaic power generation.To solve this problem,a new perturbation observation method is proposed.Compared with the traditional perturbation observation method,this algorithm increases the constant voltage estimation link to compensate the power difference caused by the change of external environment and improve the tracking accuracy.Finally,a photovoltaic cell simulation model is built by Matlab/Simulink.The simulation results verify that the algorithm has higher tracking accuracy and speed when the external environment changes dramatically.
出处
《东北电力大学学报》
2019年第6期24-29,共6页
Journal of Northeast Electric Power University
基金
国家重点研发项目资助(2017YFB0903300)
关键词
光伏模型
最大功率跟踪
扰动观察法
恒压估计
Photovoltaic model
MPPT
Perturbation and observation
Constant voltage estimation
