基于功率闭环控制与PSO算法的全局MPPT方法

发布时间：2018-01-16 00:28

本文关键词：基于功率闭环控制与PSO算法的全局MPPT方法　出处：《中国电机工程学报》2014年28期 　论文类型：期刊论文

【摘要】：基于对现有多峰值最大功率点跟踪(maximum power point tracking,MPPT)方法不足的分析,提出一种基于功率闭环控制的动态MPPT跟踪策略。该方法采用功率闭环方式实现全局最大功率点的定位,利用功率闭环控制在P-U曲线上的局部不稳定现象实现P-U曲线的快速全局扫描,克服了峰值点分布及算法参数取值对MPPT动态过程的影响。同时采用电压截止控制克服了功率闭环控制对系统整体稳定性的影响。采用基于粒子群(particle swarm optimization,PSO)算法的变步长跟踪策略消除了最大功率点跟踪的稳态功率震荡问题。最后,通过仿真与实验验证该方法的可行性和有效性,结果表明,该方法不依赖光伏阵列的已知信息,便可实现静态和动态环境下全局最大功率点跟踪,提高多峰值最大功率点跟踪的动态速度和稳态跟踪精度。
[Abstract]:Based on the analysis of the insufficiency of the existing maximum power point tracking method. A dynamic MPPT tracking strategy based on power closed-loop control is proposed. The fast global scanning of P-U curve is realized by using the local instability phenomenon of power closed-loop control on P-U curve. The effects of peak distribution and algorithm parameters on the dynamic process of MPPT are overcome. The influence of power closed-loop control on the overall stability of the system is overcome by using voltage cut-off control. Particle swarm optimization. The variable step size tracking strategy of PSO algorithm eliminates the steady-state power oscillation problem of the maximum power point tracking. Finally, the feasibility and effectiveness of the method are verified by simulation and experiments, and the results show that the proposed method is feasible and effective. This method can realize global maximum power point tracking in static and dynamic environment without relying on the known information of photovoltaic array, and improve the dynamic speed and steady-state tracking accuracy of multi-peak maximum power point tracking.
【作者单位】：合肥工业大学电气工程与自动化学院;安徽建筑大学智能建筑重点实验室;阳光电源股份有限公司;
【基金】：安徽省科技攻关重点项目(1201a0201004) 安徽高校省级自然科学研究项目(KJ2013B050)~~
【分类号】：TM615
【正文快照】： 现全局最大功率点的定位,利用功率闭环控制在P-U曲线上的局部不稳定现象实现P-U曲线的快速全局扫描,克服了峰值点分布及算法参数取值对MPPT动态过程的影响。同时采用电压截止控制克服了功率闭环控制对系统整体稳定性的影响。采用基于粒子群(particle swarm optimization,PSO)

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