Enhancement of Power Quality with Increased Levels of Multi-level Inverters in Smart Grid Applications
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Abstract
Research focuses on renewable energy-based smart grids to meet appropriate energy demands in a world where climate change and power management are becoming more significant. The smart grid is a modernized autonomous power network that can efficiently transmit electricity, save money and resources, and improve the stability of the local grid. As a result, a multi-level inverter (MLI) that is connected to the smart grid is provided in this work. To meet the requirements of the smart grid network, the inverter is controlled using a model predictive control algorithm with increased levels with the main objectives of controlling the injected power generated by the renewable source, improving the quality of the current waveform, lowering THD, and eliminating the shift phase between the current and the grid voltage.
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