基于改进拓扑的混合HS算法MPPT仿真研究

Research on MPPT Simulation of Hybrid HS Algorithm Based on Improved Topology

在局部遮荫下的多峰值P-U曲线寻优中,最大功率点跟踪(MPPT)容易陷入局部最优,跟踪速度和精度都无法兼顾,跟踪振荡大,造成光伏能量损失。提出了一种基于交错Boost和声搜索-扰动观察法混合算法(HS-P&O)的光伏MPPT控制方法,在和声搜索算法(HS)全局搜索过程中引入音调随机收敛因子ω,在局部搜索中与P&O算法进行协同控制;利用交错Boost的导通特性减小在发电过程中的纹波,减小输出振荡,加入开关电感提高电压增益,使算法能够更快到达最大功率点附近进行搜索。在MATLAB/Simulink中搭建了仿真模型,实验对比表明,所提控制方法响应速度快,光照突变前后均能迅速跟踪到全局最大功率点,在收敛速度和跟踪精度上都有所提高,稳定性良好。

The MPPT algorithm might fall into the local optimum in curvilinear optimization of the multi-peak P-U curve under partial shad-ing.Because of this situation,the tracking speed and accuracy could not achieve a balance.The tracking vibration is large,which causes the loss of photovoltaic energy.This paper proposed a photovoltaic MPPT control method based on switched inductor floating interleaved Boost and the hybrid HS algorithm.In addition,it introduced the random convergence factorωin the global search process of the harmony search(HS)algo-rithm and coordinated with the P&O algorithm in the local search.Besides,it used the conduction characteristics of the interleaved Boost to re-duce the ripple in the power generation process,decrease the output oscillation,and add the switching inductance to increase the voltage gain.By doing this,the algorithm could reach the maximum power point faster for searching.This research constructed a simulation model in MATLAB/Simulink.The experimental comparison shows that the proposed control method has excellent response speed.Moreover,it could quickly track the global maximum power point before and after the light mutation.It improves the convergence speed and tracking accuracy,and the stability is good.