摘要
利用传统电导增量法跟踪最大功率点时,若跟踪步长较大,则跟踪速度较快,但跟踪精度较差;反之,则跟踪精度较好,但跟踪速度较慢。当外界环境发生变化时,利用传统电导增量法得到的功率变化曲线振荡幅度较大,功率损失较多。改进粒子群算法能够对外界环境的突变迅速作出响应,利用该方法得到的功率变化曲线振荡幅度较小,但是很难精确地定位到最大功率点(MPP)。因此,文章提出一种混合控制的最大功率点跟踪(MPPT)策略,先利用改进粒子群算法快速跟踪到MPP附近,然后利用小步长电导增量法对MPP进行精细搜索。仿真结果表明,该跟踪策略在一定程度上能够增加跟踪系统的响应速度、跟踪精度,减小功率变化曲线的振荡幅度。
When the traditional incremental conductance(INC) method with a big step is used to track the maximum power point, it will generate fast tracking speed but poor tracking precision.Conversely, with a small step, it will cause slow tracking speed but good tracking accuracy. When confronted with the changing environment, the INC method has a large oscillation and power loss.The improved particle swarm optimization(PSO) algorithm can respond to the abrupt environment quickly with small power oscillation, but it is difficult to locate the MPP accurately. Therefore, a hybrid control MPPT strategy is proposed in this paper. First, the improved PSO algorithm can track the MPP vicinity quickly, and then the incremental conductance method is used to search the MPP accurately. The simulation results show that this strategy can increase the tracking system’s response speed, tracking accuracy and reduce the steady oscillation to a certain extent.
作者
徐建国
王海新
沈建新
Xu Jianguo;Wang Haixin;Shen Jianxin(College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
出处
《可再生能源》
CAS
北大核心
2019年第6期824-831,共8页
Renewable Energy Resources
基金
国家自然科学基金(51575274)
江苏省研究生科研与实践创新计划项目(KYCX18_0317)
研究生创新基地开放基金项目(kfjj20170526)
