Utilization of artificial neural network for the controller design of the machine side converter in the PMSG wind turbine

Giang, Le Ngoc; Yen, Nguyen Thi Hong; Tan, Ngo Duy; Viet, Nguyen Duc; Ngoat, Tran Thi

doi:10.1109/eeeic/icpseurope49358.2020.9160633

Cited by 2 publications

(1 citation statement)

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“…Some of the work involves solely the wind turbine generator like a permanent magnet synchronous generator used to meet energy demands (Giang et al , 2020) . In some other cases, only the solar panels are considered with various shading effects (Punitha et al , 2013).…”

Section: Introductionmentioning

confidence: 99%

Radial basis function neural network MPPT controller-based microgrid for hybrid stand-alone energy system used for irrigation

Murugan

Rajesh

2023

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Purpose The main purpose of this controller is to carryout irrigation by the farmers with renewable energy resources. Design/methodology/approach The proposed design includes the Deep learning based intelligent stand-alone energy management system used for irrigation purpose. The deep algorithm applied here is Radial basis function neural network which tracks the maximum power, maintains the battery as well as load system. Findings The Radial Basis Function Neural Network algorithm is used for carrying out the training process. In comparison with other conventional algorithms, this algorithm outperforms by higher efficiency and lower tracking time without oscillation. Research limitations/implications It is little complex to implement the hardware setup of neural network in terms of training process but the work is under progress. Practical implications The practical hardware implementation is under progress. Social implications If controller are implemented in a real-time environment, definitely it helps the human-less farming and irrigation process. Originality/value If this system is implemented in real-time environment, every farmer gets benefitted.

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Section: Introductionmentioning

confidence: 99%

Radial basis function neural network MPPT controller-based microgrid for hybrid stand-alone energy system used for irrigation

Murugan

Rajesh

2023

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Isolated DC Microgrid Energy Management System using Perturb and Observe Algorithm

Murugan

Rajesh

2022

2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

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Utilization of artificial neural network for the controller design of the machine side converter in the PMSG wind turbine

Cited by 2 publications

References 3 publications

Radial basis function neural network MPPT controller-based microgrid for hybrid stand-alone energy system used for irrigation

Radial basis function neural network MPPT controller-based microgrid for hybrid stand-alone energy system used for irrigation

Isolated DC Microgrid Energy Management System using Perturb and Observe Algorithm

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