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

dc.creatorCapovilla C.E.
dc.creatorCasella I.R.S.
dc.creatorSguarezi Filho A.J.
dc.creatorAzcue-Puma J.L.
dc.creatorJacomini R.V.
dc.creatorRuppert E.
dc.date2014
dc.date2015-06-25T17:49:45Z
dc.date2015-11-26T15:25:14Z
dc.date2015-06-25T17:49:45Z
dc.date2015-11-26T15:25:14Z
dc.date.accessioned2018-03-28T22:34:04Z
dc.date.available2018-03-28T22:34:04Z
dc.identifier
dc.identifierComputers And Mathematics With Applications. Elsevier Ltd, v. 68, n. 12, p. 2112 - 2123, 2014.
dc.identifier8981221
dc.identifier10.1016/j.camwa.2013.06.030
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84919840848&partnerID=40&md5=32f356cf394f3f0576642d33f32e8414
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/85705
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/85705
dc.identifier2-s2.0-84919840848
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1260865
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionWind energy is the major driver to obtain an optimized and efficient use of renewable energy in smart grids. To provide balanced supply, demand, and storage of energy in a much more efficient manner than is done today, smart grids require the employment of an advanced communication infrastructure associated to a robust power control and real-time monitoring systems. Towards this objective, we present a wireless-coded power control scheme for doubly fed induction generators operating at variable speed. The proposed system employs adaptive neuro-fuzzy control, quaternary phase shift-keying modulation, and low-density parity check coding techniques to improve the system robustness and reliability in different propagation conditions for remotely transmitting the power control references from the control center to a given aerogenerator.
dc.description68
dc.description12
dc.description2112
dc.description2123
dc.descriptionCAPES; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionIlic, M.D., From hierarchical to open access electric power systems (2007) Proceedings of the IEEE, 95 (5), pp. 1060-1084
dc.descriptionLi, 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
dc.descriptionManwell, J.F., McGowan, J.G., Rogers, A.L., (2010) Wind Energy Explained: Theory, Design and Application, , second ed. Wiley
dc.descriptionAlmeida, R.G., Pecas Lopes, J.A., Participation of doubly fed induction wind generators in system frequency regulation (2007) IEEE Transactions on Power Systems, 22 (3), pp. 944-950
dc.descriptionDatta, 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. 414-421
dc.descriptionTapia, A., Tapia, G., Ostolaza, J.X., Saenz, J.R., Modeling and control of a wind turbine driven doubly fed induction generator (2003) IEEE Transactions on Energy Conversion, 18 (2), pp. 194-204
dc.descriptionShaheen, S.A., Hasanien, H.M., Badr, M.A., Study on doubly fed induction generator control (2010) International Middle East Power Systems Conference, pp. 627-633
dc.descriptionKim, J., Jeon, J., Heo, H., Design of adaptive PID for pitch control of large wind turbine generator (2011) International Conference on Environment and Electrical Engineering, pp. 1-4
dc.descriptionSingh, B., Kyriakides, E., Singh, S.N., Intelligent control of grid connected unified doubly-fed induction generator IEEE Power and Energy Society General Meeting, pp. 1-7. , July 2010
dc.descriptionJang, J.-S.R., Anfis: Adaptive-network-based fuzzy inference system (1993) IEEE Transactions on Systems, Man, and Cybernetics, 23 (3), pp. 665-685
dc.descriptionAdamowicz, M., Strzelecki, R., Krzeminski, Z., Szewczyk, J., Lademan, L., Application of wireless communication to small wecs with induction generator 15th IEEE Mediterranean Electrotechnical Conference, pp. 944-948. , June 2010
dc.descriptionAdamowicz, M., Strzelecki, R., Szewczyk, J., Lademan, L., Wireless short-range device for wind generators 12th Biennial Baltic Electronics Conference, pp. 1736-3705. , November 2010
dc.descriptionAnaya-Lara, O., Jenkins, N., McDonald, J.R., Communications requirements and technology for wind farm operation and maintenance IEEE International Conference on Industrial and Information Systems, pp. 173-178. , August 2006
dc.descriptionWanzhi, C., Zhiyong, T., Quangui, Z., Liang, C., Research of wireless communication based on lonworks for wind turbine control system IEEE International Conference on Energy and Environment Technology, pp. 787-789. , October 2009
dc.descriptionLi, T.J., (2002) Low Complexity Capacity Approaching Schemes: Design, Analysis and Applications, , Ph.D. Dissertation, Texas AM Univ
dc.descriptionProakis, J.G., (2008) Digital Communications, , McGraw-Hill
dc.descriptionLi, H., Lai, L., Zhang, W., Communication requirement for reliable and secure state estimation and control in smart grid (2011) IEEE Transactions on Smart Grid, 2 (3), pp. 477-486
dc.descriptionJiang, J., Narayanan, K.R., Iterative soft decision decoding of Reed Solomon (2004) IEEE Communications Letters, 8, pp. 244-246
dc.descriptionLin, S., Costello, D.J., (2004) Error Control Coding, , Prentice Hall
dc.descriptionBerrou, C., Glavieux, A., Thitimajshima, P., Near Shannon limit error-correcting coding and decoding: Turbo-codes (1993) IEEE International Communications Conference, pp. 1064-1070
dc.descriptionChen, J., Abedi, A., Distributed turbo coding and decoding for wireless sensor networks (2011) IEEE Communications Letters, 15, pp. 166-168
dc.descriptionCasella, I.R.S., Analysis of turbo coded OFDM systems employing space-frequency block code in double selective fading channels IEEE International Microwave and Optoelectronics Conference, pp. 516-520. , November 2007
dc.descriptionMackay, D.J.C., Neal, R.M., Near Shannon limit performance of low-density parity-check codes (1996) IET Electronics Letters, 32, pp. 1645-1646
dc.descriptionRichardson, T., Shokrollahi, A., Urbanke, R., Design of capacity-approaching low-density parity-check codes (2001) IEEE Transactions on Information Theory, 47, pp. 619-637
dc.description(2004) Standard for Local and Metropolitan Area Networks, Part 16: Air Interface for Fixed and Mobile Wireless Access Systems, , IEEE IEEE Std. 802.16-2004
dc.descriptionLeonhard, W., (1985) Control of Electrical Drives, , Springer-Verlag Berlin, Heidelberg, New York, Tokyo
dc.descriptionJang, J.-S.R., Sun, C.-T., Neuro-fuzzy modeling and control (1995) Proceedings of the IEEE, 83 (3), pp. 378-406
dc.descriptionHaykin, S., (1998) Neural Networks: A Comprehensive Foundation, , second ed. Prentice Hall
dc.descriptionSugeno, M., Kang, G.T., Structure identification of fuzzy model (1988) Fuzzy Sets and Systems, 28
dc.descriptionSguarezi Filho, A.J., Ruppert, E., A deadbeat active and reactive power control for doubly-fed induction generators (2010) Electric Power Components and Systems, 38 (5), pp. 592-602
dc.descriptionGallager, R.G., (1963) Low-Density Parity-Check Codes, , Cambridge
dc.descriptionZhang, Y., Ryan, W.E., Toward low LDPC-code floors: A case study (2009) IEEE Transactions on Communications, 57 (6), pp. 1566-1573
dc.descriptionTanner, R.M., A recursive approach to low complexity codes (1981) IEEE Transactions on Information Theory, 27 (5), pp. 533-547
dc.descriptionJin, H., Khandekar, A., McEliece, R.J., Irregular repeat-accumulate codes Proc. Int. Symp. Turbo Codes and Related Topics, pp. 1-5. , September 2000
dc.descriptionYang, M., Ryan, W.E., Lowering the error-rate floors of moderate length high-rate irregular LDPC codes Int. Symp. Information Theory, 2, p. 237. , July 2003
dc.descriptionYang, M., Ryan, W.E., Li, Y., Design of efficiently encodable moderate-length high-rate irregular LDPC codes (2004) IEEE Transactions on Communications, 52 (4), pp. 564-571
dc.descriptionZhang, Y., Ryan, W.E., Li, Y., Structured eIRA codes with low floors Proceedings of the International Symposium on Information Theory, pp. 174-178. , September 2005
dc.descriptionKim, J., Ramamoorthy, A., McLaughlin, S., The design of efficiently-encodable rate-compatible LDPC codes (2009) IEEE Transactions on Communications, 57, pp. 365-375
dc.descriptionBarbieri, A., Piemontese, A., Colavolpe, G., On the ARMA approximation for frequency-flat Rayleigh fading channels IEEE International Symposium on Information Theory, pp. 1211-1215. , June 2007
dc.descriptionRichardson, T., Urbanke, R., The capacity of low-density parity check codes under message-passing decoding (2001) IEEE Transactions on Information Theory, 47, pp. 599-618
dc.descriptionDinoi, L., Sottile, F., Benedetto, S., Design of versatile eIRA codes for parallel decoders (2008) IEEE Transactions on Communications, 56 (12), pp. 2060-2070
dc.descriptionShuval, B., Sason, I., On the universality of LDPC code ensembles under belief propagation and ML decoding (2010) IEEE 26th Convention of Electrical and Electronics Engineers, pp. 355-359
dc.descriptionDvb-s.2, Standard Specification, pp. 302-307. , ETSI March 2005
dc.descriptionSguarezi Filho, A.J., 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
dc.languageen
dc.publisherElsevier Ltd
dc.relationComputers and Mathematics with Applications
dc.rightsfechado
dc.sourceScopus
dc.titleA Wind Energy Generator For Smart Grid Applications Using Wireless-coded Neuro-fuzzy Power Control
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución