改进猎人猎物优化算法的光伏发电MPPT控制策略

The MPPT Control Strategy for Photovoltaic Based on Improved Hunter-Prey Optimization Algorithm

光伏发电在局部遮挡时的功率-电压(P-U)特性曲线呈现多峰状态,导致传统MPPT控制策略易陷入局部最大功率点。提出了一种改进猎人猎物优化算法的MPPT控制策略。该优化算法引入非线性收敛因子,提高了算法全局探索与局部开发的能力。结合黄金正弦算法更新位置,提高了算法的寻优速度。在算法搜索后期利用莱维飞行策略避免算法陷入局部最优。经仿真验证,结果表明,与猎人猎物优化算法、布谷鸟算法和传统扰动观察法相比,所提算法跟踪速度快、收敛精度高且有效抑制了系统功率输出的振荡,能够满足光伏发电局部遮挡MPPT的要求。

The power-voltage(P-U)characteristic curve of photovoltaic presents a multi-peak state under partial occlusion,which leads to the failure of the traditional MPPT control.Hence,the paper proposes the MPPT control strategy based on improved hunter-prey optimization.The non-linear convergence factor is introduced to balance the relation between global exploration and local development.Meanwhile,the convergence speed is improved,combined with position updating mode of golden sine algorithm.Finally,Levi flight strategy is used to avoid the algorithm falling into local optimum.The simulation results show that compared with hunter-prey optimization algorithm,cuckoo algorithm,and traditional perturbation&observation method,the proposed algorithm has faster convergence speed,higher accuracy and can effectively suppress the output power oscillation,which can meet the requirement of the MPPT of photovoltaic under partial occlusion.