MPPT of solar PV systems using PSO memetic algorithm considering the effect of change in tilt angle.

ABSTRACT: Tracking the peak power output of solar photovoltaic modules poses a significant challenge in contemporary times, that too under variable climatic conditions. Despite the availability of various Maximum Power Point Tracking (MPPT) methods, each method carries its own set of limitations. Many of these constraints can be effectively addressed by leveraging a suitable metaheuristic algorithm. In this context, a Particle Swarm Optimization Memetic Algorithm (PSOMA) is proposed as a powerful tool for accelerating convergence towards the maximum power point and enhancing the tracking process. Furthermore, the proposed algorithm incorporates the impact of changes in tilt angle, thereby augmenting its efficacy. Simulation results demonstrate that the proposed method exhibits superior tracking capa

SUBMITTER: V L 

PROVIDER: S-EPMC11885664 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature