| Autor: |
Gnanasaravanan, A., Kailash kumar, T., Daniel Sathiyaraj, J., Selvam, N.V., Rajkumar, J., Chitra, D.S. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2618 Issue 1, p1-10, 10p |
| Abstrakt: |
The increase in power demand and pollution caused by the use of fossil fuels has shifted the attention to renewable energy systems (RES). The RE resources have play a vital role in unpolluted and green energy provident, but it'ssuffer from intermittency and low power levels, necessitating the use of boost converters. In addition, the MPPT strategy is essential for the maximum power extraction in energy generation system. As a result, the LUO converter and the NEURO fuzzy MPPT methodare used in this work for efficient output and maximum power traction, respectively. A PV panel's output power is fed into the LUO converter, and the converter's enhanced output is converted to AC via a 3ΦVSI, which is then injected into the grid after optimal synchronisation. This research gives a model of a PV micro grid system with RL load driving via LUO converters. Harmonic distortions and voltage variations are two of the most significant issues associated with RES integration. A PI controller is implemented to address these PQ issues and increase the grid's performance. The PWM generator is employed in this study to generate the proper pulses. MATLAB/Simulink is used to verify the modelled system's effectiveness. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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