ew 18: e46

Research Article

Design and Implementation of a Hybrid Neuro-Fuzzy Corrector for DC Bus Voltage Regulation

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  • @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: Online First},
        volume={},
        number={},
        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
El hadji Mbaye NDiaye1,*, Alphousseyni Ndiaye1,2, Mactar Faye1,2
  • 1: Research team energetic system and efficiency, Alioune Diop University of Bambey, BP 30
  • 2: Laboratory of Water, Energy, Environment and Industrial Processes, ESP, S-10700, Dakar-Fann, Senegal
*Contact email: elhadjimbaye.ndiaye@uadb.edu.sn

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%.