In this study, a particle swarm optimisation (PSO) augmented internet of things (IOT)-based maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) system has been proposed. A modified DC–DC ZETA converter is used as an interface between solar PV and DC load. The duty cycle of the converter is continuously modulated for harvesting maximum power using PSO-IOT algorithm employing Arduino and Bluetooth system. IOT-based control system provides monitoring and compiling of PV reference voltage for MPPT controller of the PV system. Further, the experimental results validate the improved performance of the proposed algorithm. A performance comparison is provided in order to prove the merit of proposed MPPT algorithm over existing techniques such as perturb and observe, PSO, ant colony optimisation, artificial bee colony.

中文翻译：

---

物联网增强了采用PSO的新型改进型基于zeta转换器的光伏最大功率跟踪系统：硬件实现

在这项研究中，提出了一种基于粒子群优化（PSO）增强的物联网（IOT）的太阳能光伏（PV）系统最大功率点跟踪（MPPT）算法。改进的DC-DC ZETA转换器用作太阳能PV和DC负载之间的接口。使用采用Arduino和蓝牙系统的PSO-IOT算法，可连续调制转换器的占空比，以获取最大功率。基于IOT的控制系统为光伏系统的MPPT控制器提供光伏参考电压的监视和编译。此外，实验结果验证了所提出算法的改进性能。提供性能比较是为了证明所提出的MPPT算法优于现有技术（如扰动和观测，PSO，蚁群优化，人工蜂群）的优点。