The P–V characteristics of PV array has one peak under uniformly distributed irradiances. Whereas, there are many peaks in the P–V curve when the irradiance is not uniformly distributed over the PV array which is called “partial shading conditions (PSCs)”. Due to its robustness in tracking the global peak (GP) of many applications, metaheuristic techniques are used as maximum power point tracker (MPPT) for the PV system under PSCs. Particle swarm optimization (PSO) has been used in this paper for this purpose. Three problems associated with the PSO have been solved in this paper using a novel fast adaptive PSO (APSO) strategy. The problem of long convergence time has been solved by updating starting values of the duty ratio of the DC-DC boost converter to be at the anticipated places of peaks. This modification reduces the convergence time and avoids the premature convergence. The problem of stored GP in the memory will prevent the PSO from capturing the current GP in case of it is lower than the stored one. This problem is solved in this paper by updating the memorized GP with the current maximum power when it is not changed for two successive iterations. The third problem of sudden change in PSCs is solved by using the updated values of duty ratio at anticipated peaks as initial values for particles. To the best of the authors’ knowledge, these problems have not been discussed or solved before in the literature. A comparison to the state-of-the-art random initialization PSO strategy shows the superiority of the proposed APSO technique in terms of tracking speed and dynamic GP tracking. The results obtained from the simulation of this strategy proved its superiority in always tracking the GP under dynamic PSCs change.

在均匀分布的辐照度下，PV阵列的PV特性具有一个峰值。然而，当辐照度未在PV阵列上均匀分布时，PV曲线上会有许多峰，这称为“部分阴影条件（PSC）”。由于其在跟踪许多应用程序的全局峰值（GP）方面的鲁棒性，因此元启发法技术被用作PSC下PV系统的最大功率点跟踪器（MPPT）。为此，本文使用了粒子群优化（PSO）。本文使用一种新颖的快速自适应PSO（APSO）策略解决了与PSO相关的三个问题。通过将DC-DC升压转换器的占空比的起始值更新为预期的峰值位置，解决了收敛时间长的问题。这种修改减少了收敛时间并避免了过早的收敛。在内存中存储GP的问题将阻止PSO捕获当前GP小于当前GP的情况。在本文中，通过在两次连续迭代中不更改存储的GP时，使用当前的最大功率来更新此问题，从而解决了该问题。通过使用预期峰值处的占空比的更新值作为粒子的初始值，可以解决PSC突然变化的第三个问题。据作者所知，这些问题以前没有在文献中讨论或解决过。与最新技术的随机初始化PSO策略的比较显示了所提出的APSO技术在跟踪速度和动态GP跟踪方面的优势。