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Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation

Sapto Nisworo et al · Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun · 2023

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Author / responsible party
Sapto Nisworo et al
Publisher
Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun
Year
2023
ISSN
2354-8924
ISSN
2354-8924
Language
English

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The focus of this research is optimizing a wind power plant using a Permanent Magnet Synchronous Generator (PMSG). The backpropagation method of the artificial neural network system was chosen to optimize the output power of the wind power generator. Based on the simulation results, the backpropagation algorithm of the artificial neural network obtains the output power based on the input variable in the form of changing wind speed. The results show that the best value is learning rate = 0.5, error = 0.0001, max. epoch= 100000, neuron hidden layer = 5. The Mean Square Error (MSE) value obtained is 0.1026 reaching the goal at epoch 14845. The reverse training regretion reaches 0.99917. The optimization results are close to the specified error, which is 0.0001, while what is obtained is 0.0145. The power generated by the wind speed is 10.7 m/s before being optimized using the back propagation neural network method worth 321 watts, while the optimized power results are 409 watts. The difference in the average target power obtained is 88 watts compared to the power of the Artificial Neural Network (ANN).

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APA 7

al, S. N. E. (2023). Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation. https://doi.org/10.33387/protk.v10i2.6040

MLA

al, Sapto Nisworo et. "Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation." 2023. https://doi.org/10.33387/protk.v10i2.6040.

Chicago

al, Sapto Nisworo et. 2023. "Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation.". https://doi.org/10.33387/protk.v10i2.6040.

Harvard

al, S. N. E. 2023, Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation, Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun, available at: https://doi.org/10.33387/protk.v10i2.6040 [Accessed 7 Aug. 2026].

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Title
Optimization of Permanent Magnet Synchronous Generator Output Power in Wind Power Plants with ANN Back Propagation
Author / contributors
Sapto Nisworo et al
Publisher
Department of Electrical Engineering, Faculty of Engineering, Universitas Khairun
Publication year
2023
ISSN
2354-8924
ISSN
2354-8924
Language
English

Subjects

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wind power plant; optimal power; permanent magnet synchronous generator (pmsg); back propagation; artificial neural network (ann)
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