A Fuzzy Neural Network Approach to Estimate PMSG based and DFIG based Wind Turbines' Power Generation
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Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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.
Açıklama
7th International Conference on Innovative Computing Technology (INTECH) -- AUG 16-18, 2017 -- Luton, ENGLAND
Anahtar Kelimeler
DFIG, Fuzzy Neural Network, PMSG, Wind Power
Kaynak
2017 Seventh International Conference on Innovative Computing Technology (Intech 2017)
WoS Q Değeri
N/A
