Research Article
Design and Implementation of a Hybrid Neuro-Fuzzy Corrector for DC Bus Voltage Regulation
@ARTICLE{10.4108/eai.8-10-2020.166551, author={El hadji Mbaye NDiaye and Alphousseyni Ndiaye and Mactar Faye}, title={Design and Implementation of a Hybrid Neuro-Fuzzy Corrector for DC Bus Voltage Regulation}, journal={EAI Endorsed Transactions on Energy Web}, volume={8}, number={32}, publisher={EAI}, journal_a={EW}, year={2020}, month={10}, keywords={HNF, modified PID, THD, Utility Grid, DC bus voltage regulation}, doi={10.4108/eai.8-10-2020.166551} }- El hadji Mbaye NDiaye
Alphousseyni Ndiaye
Mactar Faye
Year: 2020
Design and Implementation of a Hybrid Neuro-Fuzzy Corrector for DC Bus Voltage Regulation
EW
EAI
DOI: 10.4108/eai.8-10-2020.166551
Abstract
The pursuit of the MPP and the control of the inverter play a very important role in a PV system connected to the utility grid. In this paper, an intelligent method is used to regulate the DC bus voltage. The hybrid neuro-fuzzy algorithm HNFtype is used. The latter is a combination of fuzzy logic and neural networks. The PV chain, dependent on climatic conditions needs mechanisms to optimize the power it delivers, but also the injection of good quality energy to the utility grid. Among these mechanisms, there is the control of the three-phase inverter: grid currents control and DC bus voltage regulation which is based on the HNF. The implementation of the model and its simulation under Matlab/Simulink indicates that only the active power is injected into the grid. They also reveal that the HNF has a response time (Rt) of 0.097 s, a rise time (rt) of 4.30610-3s and a THD of 0.85% compared to the modified PID which has a response time of 0.659 s, a rise time of 0.156 s and a THD of 2.74%.
Copyright © 2020 El hadji Mbaye NDiaye et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
