摘要
针对光伏电池的非线性特性,文章将优化粒子群算法全局寻优的特点应用到光伏电池的最大功率点跟踪中,并利用MATLAB对光伏电池最大功率点跟踪进行不同环境条件下的仿真。仿真结果表明,该控制策略能够快速、准确地跟踪到光伏电池的最大功率点,而且有效地减小了输出功率的振荡。
Aiming at the nonlinear characteristics of the photovoltaic cells, taking advantage of the global optimization, the particle swarm optimization （PSO） is utilized in the maximum power point tracking （MPPT） of photovoltaic cells. MPPT is simulated under different environmental conditions by MATLAB, and the results show that this control method can track the maximum power point of photovoltaic cells quickly and accurately, decrease the output power vibration effectively also.
出处
《可再生能源》
CAS
北大核心
2013年第5期26-28,33,共4页
Renewable Energy Resources
关键词
光伏电池
粒子群算法
最大功率点跟踪
photovohaic cells
particle swarm optimization
maximum power point tracking
