独立光伏系统中基于参数估计的双积分滑模变结构MPPT算法研究

DOUBLE INTEGRAL SLIDING MODE MPPT METHOD BASED ON PARAMETER ESTIMATION FOR A STAND-ALONE PHOTOVOLTAIC SYSTEM

对于独立光伏系统,当外界温度变化或光伏面板遭受遮挡时造成系统工作不稳定,系统在短时间内无法快速精确地对外输出最大功率。针对此问题,提出一种基于参数估计的双积分滑模变结构最大功率跟踪算法并设计独立光伏系统仿真模型。在仿真过程中,利用粒子群优化算法(Particle Swarm Optimization,PSO)估计太阳能板模型参数,解决了常用算法在最大功率跟踪过程中耗时较长、抖动较大的问题。仿真结果表明,该算法提高了功率跟踪的响应速度、跟踪精度,减少功率变化曲线的震荡和功率损耗。

When the external temperature changes or the photovoltaic panel is blocked,the stand-alone photovoltaic(PV)system works unstable and cannot output the maximum power quickly and accurately in a short time.Aiming at the above problem,this paper proposes a double integral sliding mode MPPT method and designs a stand-alone PV system.In the simulation,the particle swarm optimization was used to estimate the parameters of the solar panel model,which solved the problems of long time-consuming and large jitter in the process of maximum power tracking.The simulation results show that the proposed algorithm improves the response speed and tracking accuracy of maximum power,and reduces the oscillation and power loss of power change curve.