【摘要】 局部阴影遮挡使光伏阵列输出功率的极大值点个数增加，常用的最大功率点跟踪(MPPT)算法对阴影环境的适应性比较差，提出一种复合MPPT控制算法。算法将简化的自适应粒子群优化(PSO)算法和扰动观察法有机融合，充分利用粒子群优化算法的全局搜索优势和扰动观察法的局部搜索优势，单一极值点范围内跟踪时采用扰动观察法，多个极值点范围内跟踪时采用简化的自适应PSO算。根据光伏MPPT控制的特点对基本PSO算法进行了简化改进，去除基本PSO算法中的随机参数，并对其他参数进行自适应调整。在MATLAB/Simulink环境下的仿真结果表明，不同光照情况下所提出的算法表现出更快的跟踪速度和更高的准确性。更多还原

【Abstract】 Local shadow increases the maximum power point number of photovoltaic array. Common maximum power point tracking(MPPT)algorithms has poor adaptability to shadow environment. A hybrid MPPT control algorithm was proposed. The algorithm combined simplified adaptive particle swarm optimization(PSO)algorithm with perturbation and observation method, making full use of their advantages. The disturbance observation method was used in single extreme point range tracking, and the simplified adaptive PSO algorithm was used in multiple extreme points range tracking. According to the characteristics of photovoltaic MPPT control, the basic PSO algorithm was simplified and improved. The random parameters in the basic PSO algorithm were removed, and other parameters were adaptively adjusted. The simulation results in MATLAB/Simulink show that the proposed algorithm has faster tracking speed and higher accuracy under different illumination conditions.更多还原