摘要
通过建立基于采样数据的光伏曲线离散化非线性状态空间模型,分析复杂应用环境对光伏最大功率点跟踪(MPPT)控制的影响,运用递推最小二乘滤波减弱量测误差,针对状态变化造成的多功率极值问题,采用粒子群优化(PSO)算法跟踪全局最大功率点,最后通过仿真与实验验证所提跟踪策略能克服复杂应用环境影响,准确跟踪阵列全局最大功率点且能抑制量测噪声,提高算法的跟踪精度。
The influence of complex application environment on maximum power point tracking（MPPT） is investigatd.A mathematical model of PV array is built that can reflect the impact of complex application environment,and then ihe particle swarm optimization（PSO） MPPT control algorithm is proposed based on recursive least square filtering to overcome the effects of measured noise.Simulation and experiment results indicate that the proposed MPPT control method can suppress the influence of the measurement noise and improve the array output effectively.
出处
《电力电子技术》
CSCD
北大核心
2016年第1期37-40,共4页
Power Electronics
基金
国家自然科学基金(51467013)~~
关键词
光伏阵列
最大功率点跟踪
递推最小二乘滤波
photovoltaic array
maximum power point tracking
recursive least square filtering
