黑寡妇算法与P&O相结合的光伏MPPT研究

Research on Photovoltaic MPPT Combined with Black Widow Algorithm and P&O

目的 在局部遮阴条件下,传统最大功率点追踪(MPPT)算法通常会跟踪到局部最优值,单个群智能优化算法在多极值的情况下能有效跟踪最大功率点,但追踪时间相对较长,为此,提出一种基于黑寡妇(BWOA)与扰动观察法相结合的MPPT算法。方法 将boost电路中开关管的占空比定义为算法中的个体位置,通过对输出占空比的调整实现MPPT控制。结果 相比于原BWOA算法和PSO算法,基于BWOA与P&O结合算法的MPPT能够更加快速地跟踪到最大功率点。结论 与扰动观察法的结合可以有效加快BWOA算法收敛速度,并提高算法收敛精度。

Objective Under local shade conditions,the traditional maximum power point tracking(MPPT)algorithm usually tracks the local optimum.A single swarm intelligence optimization algorithm can effectively track the maximum power point in the presence of multiple extreme values,but the tracking time is relatively long.Therefore,an MPPT algorithm based on the combination of the black widow optimization algorithm(BWOA)and perturbation and observation(P&O)method was proposed.Methods In this method,the duty cycle of the switch tube in the boost circuit was defined as the individual position in the algorithm,and the MPPT control was realized by adjusting the output duty cycle.Results Compared with the original BWOA algorithm and PSO algorithm,MPPT based on the combination of BWOA and P&O algorithm can track the maximum power point more quickly.Conclusion The combination of the P&O can effectively accelerate the convergence speed of the BWOA algorithm and improve the convergence accuracy.