基于改进樽海鞘群算法的光伏系统MPPT研究

光伏系统的功率-电压(P-V)在局部阴影状况下表现出多峰特性,常规最大功率跟踪(MPPT)方法易陷入局部最优值.针对此问题提出一种扩大缩放因子和引入差分策略改进的樽海鞘群算法.在领导者位置更新过程中添加帕累托分布和混沌映射提高全局搜索能力;在局部搜索过程中引入差分策略改善局部搜索能力.将改进方法应用到多峰值光伏系统MP...

RESEARCH ON MPPT OF PHOTOVOLTAIC SYSTEM BASED ON IMPROVED SALP SWARM AlGORITHM

Partial shading condition causes multiple peaks in power-voltage （P-V） curve of photovoltaic systems. And conventional maximum power point tracking （MPPT） algorithms are prone to be trapped at a local maximum power point. An improved salp swarm algorithm is proposed by expanding the zoom factor and introducing a difference strategy. The Pareto distribution and chaotic maps are added to improve the global search performance in the leader position update process; the difference strategy is introduced to improve the local search ability in the local search process. The improved method is applied to the MPPT of multi-peak photovoltaic system. The experimental results demonstrate that the improved salp swarm algorithm （ISSA） can achieve the fastest and most stable global MPPT under Partial shading in comparison to the conventional incremental conductance method （INC）, the perturbation observation method （P&O）, and the salp swarm algorithm （SSA）. It can be seen that this method has strong adaptability and stability in photovoltaic MPPT.