摘要
针对最大功率点跟踪技术(MPPT)中扰动观察法启动时间慢、稳态性能差、在环境条件大幅变化时易产生误动作和传统变步长法在确定步长值时运算复杂、计算量大、对硬件条件要求较高等问题,提出了分区自适应变步长MPPT法。首先根据相邻两次采样所得的功率差值,结合光伏整列的输出特性确定一二维平面。然后根据控制对象所处此平面的具体区域,再由特定的步长计算公式确定控制器下一刻的步长变化矢量。达到了计算量小、启动时间快、抑制稳态扰动效果好、在环境光照强度或环境温度发生大幅快速变化时能迅速追踪到新的最大功率点的目的。仿真结果证实了该算法的正确性及有效性。
The paper in view of the shortage of perturbation and observation(P&O) method in starting time, steady-state performance, disturbance direction of environmental conditions sharply change and the complexity of traditional variable step size method in determining step value. Proposed subarea self-adaption variable step size MPPT algorithm. First of all, combine the difference of two adjacent sampling with the out characteristic of photovoltaic to determine a two-dimensional plane. Then based on the specific position of control object in the plane area, through the certain step length calculation formula to determine the next step change vector of controller. Achieved the goal of having lower computation costs, faster starting time, better steady-state performance and dynamic response when the light intensity or the environment temperature changes rapidly. The simulation results verify the correctness and the validity of the theoretical analysis to the proposed algorithm.
出处
《科技通报》
2018年第10期134-139,共6页
Bulletin of Science and Technology
基金
本课题由西华大学研究生创新基金资助(基金号:ycjj2017053)
四川省教育厅重大培育项目(编号:13ZC0003)
关键词
光伏电池
最大功率点跟踪
分区自适应变步长
扰动观察法
photovoltaic cell
maximum power point tracking
subarea self-adaption variable step size
perturbation and observation
