Enhanced Control Strategy for Single-Phase Grid-Tie Inverter with Repetitive Learning Controller
| dc.contributor.author | Yahya Naser | |
| dc.contributor.author | Hassan Bargouth | |
| dc.date.accessioned | 2024-02-20T08:27:37Z | |
| dc.date.available | 2024-02-20T08:27:37Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Photovoltaic (PV) power being supplied to the utility grid is becoming increasingly popular as the world’s power demand continues to rise. Solid-state inverters are the key technology that enables the integration of PV systems into the grid. Inverters are used to convert the DC voltage obtained from the PV system to AC voltage, which is then fed to the grid. Hysteresis control is typically used to control the inverter to regulate the real and reactive power injected from the PV into the grid. However, in this project, the real and reactive power will be controlled using a different technique, namely the PI controller in addition to the repetitive controller. The repetitive controller will compensate for any errors introduced by the PI controller in tracking the sinusoidal reference, as shown in Figure 1. Figure 1: PV multi-level-based Grid The project will first be simulated in MATLAB Simulink. The hardware components include a microcontroller, current, voltage sensors, H-bridge, and transformer to implement both the PI and the repetitive controllers, in addition to generating a PWM signal to the H-bridge to control the injection of real and reactive power into the grid. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/18645 | |
| dc.supervisor | Kamel Saleh | |
| dc.title | Enhanced Control Strategy for Single-Phase Grid-Tie Inverter with Repetitive Learning Controller |
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