Power Quality Enhancement Using Multi-Level Inverter with UPQC and Robust Back Propagation Neural Network Strategy

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Published Nov 5, 2021
A Hema Sekhar S. Lakshmi Kanthan Bharathi N. Ahamed Hussain Asif
P. Veera Manikandan

Abstract

More pollutants for coal, oil, natural gas and others, a viable alternative to sustainable and renewable energy sources, have increased significantly over the past decade. These can then be seen as the first step in the global movement to reverse the problems resulting from slow climate change. Therefore, in this work, use solar power source-based power quality improvement in a system. The main aim of this work is multilevel inverter associated UPQC for power quality enhancement. In this work, multilevel inverters are used in a series shunt controller for producing accurate sinusoidal wave shape. The series controller is connected to the grid side for grid power quality improvement. In this work, grid side voltage sag/swell was reduced by a series controller. The advantage of the proposed system is the high-efficiency enrichment of quality power. The MATLAB/Simulink environment verifies the simulated results of the proposed system.

How to Cite

Sekhar, A. H. ., Bharathi, S. L. K., Asif , N. A. H. ., & Manikandan, P. V. (2021). Power Quality Enhancement Using Multi-Level Inverter with UPQC and Robust Back Propagation Neural Network Strategy. SPAST Abstracts, 1(01). Retrieved from https://spast.org/techrep/article/view/2967
Abstract 121 |

Article Details

Keywords

Unified Power Quality Conditioner, Photovoltaic, Robust back Propagation neural network, Harmonics

References
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Section
GE2- Electrical