Saurabh Jambolkar
Shivendra Singh Thakur
Shilpi Tomar
- M. Tech Scholar, Samrat Ashok Technological Institute, Vidisha, Madhya Pradesh, India
- Professsor, Samrat Ashok Technological Institute, Madhya Pradesh, India
- Professsor, Samrat Ashok Technological Institute, Madhya Pradesh, India
Abstract
Multilevel inverters play a major role in medium voltage, high power and renewable applications. It is also used in certain applications where high switching frequency, and high output voltage gain are required. The switching transient period of a MOSFET should be minimal because a high dv/dt rate could result in permanent damage to the MOSFET. The harmonics present could cause many problems and so it has to be minimized. The harmonic content in the output voltage and the electromagnetic interference can be reduced with the help of small filters. It uses high switching frequency pulse width modulation for switching as it leads to high efficiency, and fast response, with a small and low-cost filter. There are classical and optimization techniques for harmonic reduction. Compared to the classical method, advanced optimization techniques are vital in determining the switching angles, switching positions and harmonic reduction because of their simplicity. There exist a few optimization techniques for harmonic reduction in multilevel inverters which include the Firefly algorithm, Genetic algorithm, Firefly Assisted Genetic Algorithm, and Grey Wolf Optimization algorithm. Here a novel 15-level inverter design based on Grey Wolf Optimization (GWO) for green energy applications is proposed. The number of switches used in the circuit is minimized with the Grey Wolf Optimizer (GWO) algorithm applied to the 15-level inverter. In the proposed work, the required fundamental voltage is maintained at the rated voltage and a few high-order harmonics are excluded. The best switching angles for a cascaded multilevel inverter are estimated using the natural leadership hierarchy and hunting mechanism of grey wolves. The total harmonic distortion of the proposed system is reduced to 6.629%. The following are the objectives of the Research work To perform the comparative analysis of classical multilevel inverter schemes, To design a multilevel inverter with minimized current harmonics, low voltage stress and increased efficiency, To tune the parameters of multilevel inverter by Grey Wolf Optimization (GWO) and reduce the harmonic distortion.
Keywords: Genetic Algorithm, fossil fuel, PV capacity, cascaded multilevel inverter, current harmonics, Fuel Cells
[This article belongs to Journal of Nuclear Engineering & Technology(jonet)]
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Journal of Nuclear Engineering & Technology
| Volume | 14 |
| Issue | 01 |
| Received | February 26, 2024 |
| Accepted | June 4, 2024 |
| Published | April 29, 2024 |