基于人工鱼群算法的光伏阵列多峰MPPT控制策略

聂晓华; 赖家俊

聂晓华,赖家俊.基于人工鱼群算法的光伏阵列多峰MPPT控制策略[J].电测与仪表,2016,53(20):.
Nie Xiaohua,Lai Jiajun.Artificial fish school algorithm for MPPT of PV array under complex application environments[J].Electrical Measurement & Instrumentation,2016,53(20):.

基于人工鱼群算法的光伏阵列多峰MPPT控制策略

Artificial fish school algorithm for MPPT of PV array under complex application environments

DOI：

中文关键词: 复杂应用环境光伏系统最大功率点跟踪人工鱼群算法

英文关键词:Complex application environment, PV array, Maximum power point tracking, Artificial fish school algorithm

基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目）

作者中文名	作者英文名	单位
聂晓华	Nie Xiaohua	南昌大学信息工程学院
赖家俊	Lai Jiajun	南昌大学信息工程学院

摘要点击次数: 1617

中文摘要:

光伏系统在复杂应用环境下输出特性具有时变非线性、多功率极值和量测噪声的特点。人工鱼群算法具有良好的克服局部极值、获得全局极值的能力,非常适合解决这类非线性多极值函数寻优问题。分析了复杂应用环境下光伏阵列输出特性,将最小二乘滤波与人工鱼群算法结合,应用于复杂应用环境下的光伏最大功率点跟踪控制中,削弱复杂应用环境影响,提高跟踪精度,最后通过仿真与实验验证该跟踪策略的有效性。

英文摘要:

For PV in case of complex application environment has the highly unlinear, several local peak power and measured noise characteristics. Artificial fish school algorithm(AFSA) has the ability of overcoming local peak power and obtaining global best, very suitable for solving this optimization problem of non-linear extreme value function. Analyzed the PV output characteristics under complex application environments,proposed the AFSA maximum power point tracking (MPPT) control algorithm based on least square filtering to overcome the effects of measured noise. Simulation results indicate that the proposed MPPT control method can suppress the influence of the measurement noise effectively, and can improve the array output efficiency.

查看全文查看/发表评论下载PDF阅读器

关闭