A wind energy generator for smart grid applications using wireless coding neuro-fuzzy power control
- 1 May 2012
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 525-530
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.Keywords
This publication has 13 references indexed in Scilit:
- A Predictive Power Control for Wind EnergyIEEE Transactions on Sustainable Energy, 2010
- Smart Transmission Grid: Vision and FrameworkIEEE Transactions on Smart Grid, 2010
- Intelligent control of grid connected unified doubly-fed induction generator2010
- A Deadbeat Active and Reactive Power Control for Doubly Fed Induction GeneratorElectric Power Components and Systems, 2010
- Power Electronics in Smart Electrical Energy Networks2008
- From Hierarchical to Open Access Electric Power SystemsProceedings of the IEEE, 2007
- On the ARMA Approximation for Frequency-Flat Rayleigh Fading Channels2007
- Neuro-fuzzy modeling and controlProceedings of the IEEE, 1995
- ANFIS: adaptive-network-based fuzzy inference systemIEEE Transactions on Systems, Man, and Cybernetics, 1993
- A recursive approach to low complexity codesIEEE Transactions on Information Theory, 1981