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|Type:||Artigo de evento|
|Title:||A Wind Energy Generator For Smart Grid Applications Using Wireless Coding Neuro-fuzzy Power Control|
Sguarezi Filho A.J.
|Abstract:||The wind energy generation is the huge driver behind the push for supergrids and cross-border infrastructure for renewable energy systems into smart grids. To provide balance supply, demand, and storage of energy over a region in a much more efficient manner than it is done today, smart grids will need to use an advanced communication infrastructure into a robust control system. Towards this objective, it is proposed in this paper a wireless coding power control employing low density parity check coding to improve system robustness and reliability. For variable speed operation, the wind energy system uses a doubly-fed induction generator and a neuro-fuzzy controller. The performance improvements of the proposed system are investigated in different propagation conditions. © 2012 IEEE.|
|Citation:||Proceedings - 2012 9th International Conference On Fuzzy Systems And Knowledge Discovery, Fskd 2012. , v. , n. , p. 525 - 530, 2012.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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