【摘要】 针对局部遮阴下光伏阵列呈现多峰P-U特性时,传统的MPPT方法存在陷入局部峰值点的问题,提出一种基于双变异策略差分进化算法的多峰MPPT方法.该方法前期采用全局搜索性能较好的DE/rand/1变异策略,以避免系统陷入局部峰值点;后期改用局部搜索能力强的DE/best/1变异策略,并对该变异策略进行优化,以提高算法跟踪速度和精度.仿真结果证明,该方法可准确搜索到全局最大功率点,且搜索速度相对于标准DE算法提高了35%.应用该算法的MPPT控制可有效提高光伏发电系统在复杂工作条件下的发电效率.更多还原

【Abstract】 The convention maximum power point tracking(MPPT) methods fail to work under partially shaded conditions, because multiple local maximum can be exhibited on the P-U curve. This paper proposed an improved multiple-peak MPPT method which is based on dual mutation strategy differential evolution algorithm. The algorithm first used DE/rand/1 mutation strategy, which has a good global search capability, thus can avoid algorithm fell into local optimum; then utilized DE/best/1 to improve search speed and precision. Simulation results indicate that the proposed algorithm can find the global maximum power point accurately. The proposed MPPT algorithm can effectively improve efficiency of PV system under complicated working conditions.更多还原