Performance of Coded Wireless Power Controllers for Wind Turbines Connected to a Smart Grid

Nowadays, with the advance of smart grid technologies, the participation of renewable energy in the power systems is changing for attend new requirements and increase efficiency of the systems. With a view of smart grid context, this work proposes the review of a modern wireless control system proposed based on for squirrel cage induction generators connected to the power grid. The wireless communication system applied transmits the reference power signals to the SCIG controller with the necessary reliability to ensure the power quality provided by the wind turbine employing the OFDM multi-carrier transmission technique associated with an LDPC coding scheme. The satisfactory results of this research endorse the operability and advantages of application of wireless control system for windy plants when some requirements and techniques, based on digital modulation and coding techniques, are employees

A Wind Energy Generator For Smart Grid Applications Using Wireless Coding Neuro-fuzzy Power Control

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.525530Strzelecki, R., Benysek, G., (2008) Power Electronics in Smart Electrical Energy Networks, , Springer-VerlagIlic, M.D., From hierarchical to open access electric power systems (2007) Proceedings of the IEEE, 95 (5), pp. 1060-1084. , MayLi, F., Qiao, W., Sun, H., Wan, H., Wang, J., Xia, Y., Xu, Z., Zhang, P., Smart transmission grid: Vision and frameworks (2010) IEEE Transactions on Smart Grid, 1 (2), pp. 186-192. , SeptemberKeyhani, A., Marwali, M.N., Dai, M., (2010) Integration of Green and Renewable Energy in Electric Power SystemsManwell, J.F., McGowan, J.G., Rogers, A.L., (2010) Wind Energy Explained: Theory, Design and Application, , 2nd edSimoes, M.G., Farret, F.A., (2004) Renewable Energy Systems with Induction Generators, , CRC PressDe Almeida, R.G., Lopes, J.A.P., Participation of doubly fed induction wind generators in system frequency regulation (2007) IEEE Transactions on Power Systems, 22 (3), pp. 944-950. , AugustDatta, R., Rangathan, V.T., Variable-speed wind power generation using doubly fed wound rotor induction machine-a comparison with alternative schemes (2002) IEEE Trans. on Energy Conversion, 17 (3), pp. 414-421. , SeptemberGallager, R.G., (1963) Low-Density Parity-Check Codes, , CambridgeLeonhard, W., (1985) Control of Electrical Drives, , Springer-Verlag Berlin Heidelberg New York TokyoJang, J.-S., Sun, C.-T., Neuro-fuzzy modeling and control (1995) Proceed-ings of the IEEE, 83 (3), pp. 378-406. , MarHaykin, S., (1998) Neural Networks: A Comprehensive Foundation, , 2nd ed. Prentice HallJang, J.-S., Anfis: Adaptive-network-based fuzzy inference system (1993) IEEE Transactions on Systems, Man, and Cybernetics, 23 (3), pp. 665-685Filho, A.J.S., Ruppert, E., A deadbeat active and reactive power control for doubly-fed induction generators (2010) Electric Power Compo-nents and Systems, 38 (5), pp. 592-602Singh, B., Kyriakides, E., Singh, S.N., Intelligent control of grid connected unified doubly-fed induction generator (2010) IEEE Power and Energy Society General Meeting, pp. 1-7Lin, S., Costello, D.J., (2004) Error Control Coding, , Prentice HallTanner, R.M., A recursive approach to low complexity codes (1981) IEEE Transactions on Information Theory, 27 (5), pp. 533-547. , SeptemberZhang, Y., Ryan, W.E., Li, Y., Structured eira codes with low floors (2005) Proceedings of the International Symposium on Information Theory, pp. 174-178. , SeptemberBarbieri, A., Piemontese, A., Colavolpe, G., On the arma approximation for frequency-flat rayleigh fading channels (2007) IEEE International Symposium on Information Theory, pp. 1211-1215. , JuneDvb-s.2 (2005) Standard Specification, pp. 302-307. , ETSI, MarchFilho, A.J.S., De Oliveira Filho, M.E., Ruppert, E., A predictive power control for wind energy (2011) IEEE Transactions on Sustainable Energy, 2 (1), pp. 97-105. , Januar

An Anfis Power Control For Wind Energy Generation In Smart Grid Scenario Using Wireless Coded Ofdm-16-qam

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, this work proposes a wireless coded orthogonal frequency division multiplexing neuro-fuzzy power control employing low density parity-check coding for a doubly fed induction aerogenerator to improve system robustness and reliability. The performance improvements of the proposed system are investigated in a more realistic frequency selective fading propagation condition. © Brazilian Society for Automatics-SBA 2013.2512231Adamowicz, M., Strzelecki, R., Krzeminski, Z., Szewczyk, J., Lademan, L., Application of wireless communication to small wecs with induction generator (2010) 15th IEEE Mediterranean Electrotechnical Conference, pp. 944-948Adamowicz, M., Strzelecki, R., Szewczyk, J., Lademan, L., Wireless short-range device for wind generators (2010) 12th Biennial Baltic Electronics Conference, pp. 1736-3705Almeida, R.G., Lopes, J.A.P., Participation of doubly fed induction wind generators in system frequency regulation (2007) IEEE Transactions on Power Systems, 22 (3), pp. 944-950Azcue, J.L., Sguarezi Filho, A.J., Capovilla, C.E., Casella, I.R.S., Ruppert, E., A wind energy generator for smart grid applications using wireless coding neuro-fuzzy power control (2012) International Conference on Fuzzy Systems and Knowledge Discovery, pp. 525-530Belmokhtar, K., Doumbia, M.L., Agbossou, K., Modelling and fuzzy logic control of dfig based wind energy conversion systems (2012) IEEE International Symposium on Industrial Electronics, 2 (4), pp. 1888-1893Berrou, C., Glavieux, A., Thitimajshima, P., Near shannon limit error-correcting coding and decoding: Turbo-codes (1993) IEEE International Communications Conference, pp. 1064-1070Casella, I.R.S., Analysis of turbo coded ofdm systems employing space-frequency block code in double selective fading channels (2007) IEEE International Microwave and Optoelectronics Conference, pp. 516-520Casella, I.R.S., Sguarezi Filho, A.J., Capovilla, C.E., Ruppert, E., A wireless deadbeat power control for wind power generation systems in smart grid applications (2011) Brazilian Power Electronics Conference (COBEP), pp. 520-523Datta, R., Rangathan, V.T., Variable-speed wind power generation using doubly fed wound rotor induction machine: A comparison with alternative schemes (2002) IEEE Transactions on Energy Conversion, 17 (3), pp. 414-421Dinoi, L., Sottile, F., Benedetto, S., Design of versatile eira codes for parallel decoders (2008) IEEE Transactions on Communications, 56 (12), pp. 2060-2070(2005) Dvb-s.2. 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