Online grid impedance estimation for grid-connected inverters using APT-BMFO

• Published in: Sustainable energy technologies and assessments 2023-03, Vol.56, p.103095, Article 103095
• Main Authors: Palanisamy, N., Michael, Prawin Angel
• Format: Article
• Language: English
• Subjects: Automatic Parameter Tuning based Brownian Mayfly Optimization algorithm (APT-BMFO); Grid impedance; Grid-connected inverters; Online grid impedance estimation; Point of Common Coupling (PCC); PV array
• ISSN: 2213-1388
• DOI: 10.1016/j.seta.2023.103095

•APT-MPPT-BMFO, an online GIE method is proposed for GCI to develop stability.•The proposed algorithm APT-MPPT-BMFO has led in terms of fitness value.•The proposed estimation efficacy is examined and confirmed by the simulation outcomes.•The power obtained by the proposed system is 8000 W.•APT-BMFO attained superior outcomes when compared to prevailing methodologies. In Distributed Power Generation (DPG) system, improving attention and applications are introduced into the energy interface betwixt Renewable Energy (RE) and the grid. Nevertheless, owing to the harmful impact of grid impedance on the control performance and the stability of GCI like power quality, estimation accuracy, frequency, and time period of the injected disturbance into the grid, the usage of GCI sources has come out as a considerable challenge. Hence, by employing the Automatic Parameter Tuning-centric Brownian Mayfly Optimization (MFO) (APT-BMFO), an online Grid Impedance Estimation (GIE) methodology is proposed for GCI. By deploying APT-BMFO, which is also wielded for the Maximum Power Point (MPP) issue by attaining optimal step size rather than a fixed step size, the inverter controller was tuned. The results displayed that the proposed model generated high power nearly 8400 W and by obtaining enhanced stability when weighed against other techniques, the proposed system offers enhanced performance.