A Fuzzy Neural Network Approach to Estimate PMSG based and DFIG based Wind Turbines' Power Generation

Demirdelen T., Bakmaz E., TÜMAY M.

7th International Conference on Innovative Computing Technology (INTECH), Luton, Birleşik Krallık, 16 - 18 Ağustos 2017, ss.101-106 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/intech.2017.8102437
  • Basıldığı Şehir: Luton
  • Basıldığı Ülke: Birleşik Krallık
  • Sayfa Sayıları: ss.101-106
  • Çukurova Üniversitesi Adresli: Evet

Özet

Neural networks and fuzzy systems are amalgamate their advantages and to eliminate its individual disadvantages. Neural networks have its computational characteristics of learning in the fuzzy systems and receive from them the interpretation and clarity of systems representation. Thus, the disadvantages of the fuzzy systems are fulfilled by the capacities of the neural networks. These techniques are complementary, which prove its use together. This is called fuzzy neural networks In this paper, a fuzzy neural network is applied to estimate PMSG based and DFIG based wind turbines' power generation. The obtained results showed that this model can be used to predict wind turbine power generation and performance analysis both two type turbines in a simple, reliable and accurate way.