Power Quality Enhancement Using Multi-Level Inverter with UPQC and Robust Back Propagation Neural Network Strategy
Main Article Content
Article Sidebar
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
Article Details
Unified Power Quality Conditioner, Photovoltaic, Robust back Propagation neural network, Harmonics
2. K. A. Chandra, A.O. Barry, and T.D. Nguyen, “Power quality enhancement utilizing single-phase unified power quality conditioner: digital signal processor-based experimental validation,” IET Power Electron. vol. 4, no.3, pp. 323–331, 2011.
3. N. D. Tuyen and G. Fujita “PV-active power filter combination supplies power to nonlinear load and compensates utility current,” IEEE Power and Energy Technology Systems Journal, vol. 2, no. 1, pp. 32-42, March 2015.
4. S. Devassy and B. Shing “Modified p-q theory-based control of solar PVintegrated UPQC-S,” in Proc. IEEE Industry Application Society Annual Meeting, Oct. 2016, pp.1-8.