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Modeling a Solar Power Plant with Artificial Neural Networks

Cilt: 7 Sayı: 2 31 Aralık 2023
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Modeling a Solar Power Plant with Artificial Neural Networks

Abstract

This study will enable us to estimate the power of the solar power plant with measurement data such as outdoor temperature-humidity, wind and precipitation amount, to protect the system from imbalance, and to determine the instant and daily effective energy trade more easily. By taking the data from the solar power plant installed in Samsun, Turkey, estimation was made with Artificial Neural Networks for electricity generation. In this study, Levenberg-Marguardt feed-forward backprop learning algorithm was used to find the best approach in the network. The best prediction results were obtained from the 2-layer and 5-neuron Artificial Neural Networks model, and it was observed that the system gave better training results as the number of iterations increased (multiple determination coefficient, R2, 0.99818).

Keywords

Artificial neural network , Solar , Energy , Power plant , Electricity generation

Kaynakça

  1. Cengiz, C. (2023). Comparison of the parameters of solar power plants with the same characteristics installed in four different directions. (Master’s Dissertation, Fırat University).
  2. International Energy Agency (2023). Solar PV Global Supply Chains – Analysis 2023. Retrieved March 2, 2023 from https://www.iea.org/reports/solar-pv-global-supply-chains/executive-summary
  3. Sahin, H., Esen, H. (2022). The usage of renewable energy sources and its effects on GHG emission intensity of electricity generation in Turkey. Renew Energy 192:859–69.
  4. Republic of Turkey Ministry of Energy and Natural Resources. Electricity (2023). Retrieved March 2, 2023 from https://enerji.gov.tr/infobank-energy-electricity
  5. Alvara, R.R. (2018). Design and Modelling of a Large-Scale PV Plant. Escola Tècnica Superior d’Enginyeria Industrial de Barcelona.
  6. Gök, A. O., Yıldız, C., & Şekkeli, M. (2019). Yapay sinir ağları kullanarak kısa dönem güneş enerjisi santrali üretim tahmini: Kahramanmaraş örnek çalışması. Uluslararası Doğu Anadolu Fen Mühendislik ve Tasarım Dergisi, 1(2), 186-195.
  7. İçel Y. (2019). Güneş enerji sistemlerinin performans tahmini için yapay sinir ağları ile modellenmesi ve verimliliğin incelenmesi (Master’s Dissertation, Inonu University)
  8. Dinçer, A., & İlhan, U. (2022). Fotovoltaik Panellerde Güç Tahminlenmesi için Yapay Zekâ Yöntemlerinin Kullanılması. Tekirdağ Ziraat Fakültesi Dergisi, 19(2), 435-445.
  9. Nkuriyingoma, O., & Selçuklu S. B. (2021). Solar power plant generation forecasting using NARX neural network model: A case study, I. J. of Energy Applications and Technologies, 8(3), 80-92.
  10. Wang, F., Mi, Z., Su, S., & Zhao, H. (2012). Short-term solar irradiance forecasting model based on artificial neural network using statistical feature parameters. Energies, 5, 1355–1370.

Kaynak Göster

APA
Arslan, S., Esen, H., Avcı, E., & Cengiz, C. (2023). Modeling a Solar Power Plant with Artificial Neural Networks. International Journal of Innovative Engineering Applications, 7(2), 201-206. https://doi.org/10.46460/ijiea.1336917
AMA
1.Arslan S, Esen H, Avcı E, Cengiz C. Modeling a Solar Power Plant with Artificial Neural Networks. ijiea, IJIEA. 2023;7(2):201-206. doi:10.46460/ijiea.1336917
Chicago
Arslan, Seren, Hikmet Esen, Engin Avcı, ve Can Cengiz. 2023. “Modeling a Solar Power Plant with Artificial Neural Networks”. International Journal of Innovative Engineering Applications 7 (2): 201-6. https://doi.org/10.46460/ijiea.1336917.
EndNote
Arslan S, Esen H, Avcı E, Cengiz C (01 Aralık 2023) Modeling a Solar Power Plant with Artificial Neural Networks. International Journal of Innovative Engineering Applications 7 2 201–206.
IEEE
[1]S. Arslan, H. Esen, E. Avcı, ve C. Cengiz, “Modeling a Solar Power Plant with Artificial Neural Networks”, ijiea, IJIEA, c. 7, sy 2, ss. 201–206, Ara. 2023, doi: 10.46460/ijiea.1336917.
ISNAD
Arslan, Seren - Esen, Hikmet - Avcı, Engin - Cengiz, Can. “Modeling a Solar Power Plant with Artificial Neural Networks”. International Journal of Innovative Engineering Applications 7/2 (01 Aralık 2023): 201-206. https://doi.org/10.46460/ijiea.1336917.
JAMA
1.Arslan S, Esen H, Avcı E, Cengiz C. Modeling a Solar Power Plant with Artificial Neural Networks. ijiea, IJIEA. 2023;7:201–206.
MLA
Arslan, Seren, vd. “Modeling a Solar Power Plant with Artificial Neural Networks”. International Journal of Innovative Engineering Applications, c. 7, sy 2, Aralık 2023, ss. 201-6, doi:10.46460/ijiea.1336917.
Vancouver
1.Seren Arslan, Hikmet Esen, Engin Avcı, Can Cengiz. Modeling a Solar Power Plant with Artificial Neural Networks. ijiea, IJIEA. 01 Aralık 2023;7(2):201-6. doi:10.46460/ijiea.1336917