摘要
阴影条件下光伏阵列的输出特性曲线呈现多峰值特性,现有的在线式MPPT方法的追踪时间长,追踪过程中电压波动大,容易造成阵列失配。为解决这一问题,提出了一种基于模型预测的混合型MPPT算法,将初步寻优过程放入软件中处理,通过"检测—预测—再寻优"的过程完成多峰值情况下的MPPT。建模仿真证明:与现有MPPT方法相比,基于模型预测的混合型MPPT算法能够有效缩短系统的寻优时间,且电压波动更小,适用于阴影条件下光伏阵列的最大功率追踪。
The output characteristic curve of PV array is presented with multi peak characteristics under the shadow conditions.The existing online MPPT method has a long tracking time,and the voltage fluctuation is large in the tracking process,which is easy to cause the array mismatch.In order to solve this problem,a hybrid MPPT algorithm based on model prediction is proposed,and the preliminary optimization process is put into the software,through the process of ＂detection-prediction process-reoptimization＂ to complete the MPPT of multi peak condition.Simulation results show that compared with the existing MPPT method,a hybrid MPPT algorithm based on model prediction can effectively shorten the search time of the system,and the voltage fluctuation is smaller,which is suitable for the maximum power tracking of photovoltaic array under the shadow condition.
出处
《测控技术》
CSCD
2017年第4期79-84,共6页
Measurement & Control Technology
关键词
阴影条件
多峰值
粒子群算法
MPPT
partial shaded
multi peak
particle swarm optimization algorithm
MPPT
