Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter.

ABSTRACT: This article proposes a finite set model predictive control (FS-MPC) strategy for a three-phase, two-stage photovoltaic (PV) and battery-based hybrid microgrid (HMG) system. The system incorporates parallel inverters with dual DC-link capacitors connected to a shared DC grid, enabling enhanced reliability and efficient power-sharing. A discrete-time HMG model is developed to predict key system parameters such as grid, circulating, and offset currents. To reduce computational complexity, the FS-MPC selectively employs 30 out of 64 switching vectors, ensuring faster processing without sacrificing performance. The system integrates an incremental conductance-based maximum power algorithm (IC-MPA) to achieve efficient PV energy extraction and a bidirectional converter model to regulate battery

SUBMITTER: Sahoo B 

PROVIDER: S-EPMC11868655 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature