Automated fault detection and stability assessment using a eleven-level multi-level inverter for a grid-interfaced photovoltaic system

This paper provides a robust technique for controlling a Solar Photovoltaic (SPV) grid interfaced system using a Cascaded H-bridge Multi-level Inverter (CHBMLI) and Maximum Power Point Tracking (MPPT) control. Aim : The goal is validate the proposed method for optimizing the overall performance of a SPV grid interfaced system. This entails the mixing of advanced manipulation strategies, fault detection mechanisms, and balance enhancement techniques inside a CHBMLI framework, leveraging MPPT algorithms for efficient strength conversion. Background : Integrating SPV systems with the utility grid using green inverters is crucial for the distributed era. Multi-level Inverters (MLIs) in particular CHB topology, are identified for their capacity to provide low-distortion output voltages with minimum harmonics. This paper addresses these problems by proposing a strong control and fault detection method for SPV grid structures. Results : Simulation outcome indicates that the proposed method significantly complements the integration of the CHBMLI with MPPT algorithms and proportional integral derivative control. It ensures efficient strength conversion and regular energy drift in brief situations. The use of thyristor-controlled series capacitor further improves transient stability. The fault detection mechanism identifies symmetrical and unsymmetrical faults, ensuring well-timed responses. Overall, the machine demonstrates decreased Total Harmonic Distortion (THD) and advanced voltage profiles, confirming effectiveness of proposed technique.