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A Wireless OFDM Control System of SCIG for Applications in Smart Grids Jointly Employing Convolutional Coding and FWMA Filtering

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Abstract

In this paper, a new power control system for wind turbines based on a squirrel cage induction generator linked to the mains by means of a back-to-back converter for smart grid applications is proposed. The wireless system employs orthogonal frequency division multiplexing, convolutional coding, and functionally weighted moving average filtering to improve the system performance against the errors due to the propagation channel in the transmitted power references. Hence, the system avoids damages in turbines and converters and also increases the power quality of the power injected into the grid. Hence, the reactive power injection can be helpful in ancillary services. The system was analyzed regarding the total harmonic distortion for SCIGs’ currents and the system response to verifying the delivered power quality by the generator to the mains. The simulated results validate the proposed wireless-coded control system.

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References

  • Abad, G., López, J., Rodríguez, M. A., Marroyo, L., & Iwanski, G. (2011). Doubly fed induction machine: Modeling and control for wind energy generation application. Hoboken: Wiley-IEEE Press.

    Book  Google Scholar 

  • Blau, J. (2010). Europe plans a north sea grid. IEEE Spectrum, 47(3), 12–13.

    Article  Google Scholar 

  • Capovilla, C., Casella, I., Filho, A. S., Azcue-Puma, J., Jacomini, R., & Ruppert, E. (2014). A wind energy generator for smart grid applications using wireless-coded neuro-fuzzy power control. Computers & Mathematics with Applications, 68(12 Part A), 2112–2123.

  • Capovilla, C. E., Casella, I. R. S., Filho, A. J. S., Barros, T., & Ruppert, E. (2015). Performance of a direct power control system using coded wireless OFDM power reference transmissions for switched reluctance aerogenerators in smart grid scenario. IEEE Transactions on Industrial Electronics, 62(1), 52–61.

    Article  Google Scholar 

  • Cardoso, J. G., Casella, I. R. S., Filho, A. J. S., Costa, F. F., & Capovilla, C. E. (2016). SCIG wind turbine wireless controlled using morphological filtering for power quality enhancement. Renewable Energy, 92, 303–311.

    Article  Google Scholar 

  • Casella, I. R. S. (2007). Analysis of turbo coded OFDM systems employing space-frequency block code in double selective fading channels. In IEEE international microwave and optoelectronics conference (pp. 516–520).

  • Casella, I. R. S., Capovilla, C. E., Filho, A. J. S., Jacomini, R. V., Puma, J. L. A., & Ruppert, E. (2014). An ANFIS power control for wind energy generation in smart grid scenario using wireless coded OFDM-16-QAM. Journal of Control, Automation and Electrical Systems, 25(1), 22–31.

    Article  Google Scholar 

  • Cecati, C., Citro, C., Picoolo, A., & Siano, P. (2011). Smart operation of wind turbines and diesel generators according to economic criteria. IEEE Transactions on Industrial Electronics, 58(10), 486–494.

    Article  Google Scholar 

  • Charni, R., & Maier, M. (2014). Total cost of ownership and risk analysis of collaborative implementation models for integrated fiber-wireless smart grid communications infrastructures. IEEE Transactions on Smart Grid, 5(5), 2264–2272.

    Article  Google Scholar 

  • Costa, F. F., Filho, A. J. S., Capovilla, C. E., & Casella, I. R. S. (2014). Morphological filter applied in a wireless deadbeat control scheme within the context of smart grids. Electric Power Systems Research, 107, 175–182.

    Article  Google Scholar 

  • de Almeida, L. A. L., Filho, A. J. S., Capovilla, C. E., Casella, I. R. S., & Costa, F. F. (2016). An impulsive noise filter applied in wireless control of wind turbines. Renewable Energy, 86, 347–353.

    Article  Google Scholar 

  • de Oliveira Filho, M. E., Gazoli, J. R., Filho, A. J. S., & Filho, E. R. (2008). A control method for voltage source inverter without dc link capacitor. In IEEE power electronics specialists conference, June 2008 (pp. 4432–4437).

  • Gao, Y., Xiao, F., Liu, J., & Wang, R. (2019). Distributed soft fault detection for interval type-2 fuzzy-model-based stochastic systems with wireless sensor networks. IEEE Transactions on Industrial Informatics, 15(1), 334–347.

    Article  Google Scholar 

  • Gentile, C., Griffith, D., & Souryal, M. (2012). Wireless network deployment in the smart grid: Design and evaluation issues. IEEE Network, 26(6), 48–53.

    Article  Google Scholar 

  • Gungor, V. C., Lu, B., & Hancke, G. P. (2010). Opportunities and challenges of wireless sensor networks in smart grid. IEEE Transactions on Industrial Electronics, 57(10), 3557–3564.

    Article  Google Scholar 

  • Kou, P., Liang, D., Li, J., Gao, L., & Ze, Q. (2017). Finite-control-set model predictive control for dfig wind turbines. IEEE Transactions on Automation Science and Engineering, 99, 1–10.

    Google Scholar 

  • Li, F., Qiao, W., Sun, H., Wan, H., Wang, J., Xia, Y., et al. (2010). Smart transmission grid: Vision and frameworks. IEEE Transactions on Smart Grid, 1(2), 186–192.

    Article  Google Scholar 

  • Li, H., Lai, L., & Zhang, W. (2011). Communication requirement for reliable and secure state estimation and control in smart grid. IEEE Transactions on Smart Grid, 2(3), 477–486.

    Article  Google Scholar 

  • Li, T. J. (2002). Low complexity capacity approaching schemes: Design, analysis and applications. Ph.D. dissertation, Texas AM University.

  • Li, W., Gong, D., Liu, M., Chen, J., & Duan, D. (2013). Adaptive robust kalman filter for relative navigation using global position system. IET Radar, Sonar & Navigation, 7(5), 471–479.

    Article  Google Scholar 

  • Lin, F.-J., Tan, K.-H., Fang, D.-Y., & Lee, Y.-D. (2013). Intelligent Controlled three-phase squirrel-cage induction generator system using wavelet fuzzy neural network for wind power. IIET Renewable Power Generation, 7(5), 552–564.

    Article  Google Scholar 

  • Lin, S., & Costello, D. J. (2004). Error control coding. Upper Saddle River: Prentice Hall.

    MATH  Google Scholar 

  • Liu, N., Chen, J., Zhu, L., Zhang, J., & He, Y. (2013). A key management scheme for secure communications of advanced metering infrastructure in smart grid. IEEE Transactions on Industrial Electronics, 60(10), 4746–4756.

    Article  Google Scholar 

  • Liu, J., Gao, Y., Geng, S., & Wu, L. (2017). Nonlinear control of variable speed wind turbines via fuzzy techniques. IEEE Access, 5, 27–34.

    Article  Google Scholar 

  • MacDowell, J., Dutta, S., Richwine, M., Achilles, S., & Miller, N. (2015). Serving the future: Advanced wind generation technology supports ancillary services. IEEE Power and Energy Magazine, 13(6), 22–30.

    Article  Google Scholar 

  • Manandhar, K., Cao, X., Hu, F., & Liu, Y. (2014). Detection of faults and attacks including false data injection attack in smart grid using kalman filter. IEEE Transactions on Control of Network Systems, 1(4), 370–379.

    Article  MathSciNet  MATH  Google Scholar 

  • Proakis, J. G. (2008). Digital communications. New York: MCGraw-Hill.

    MATH  Google Scholar 

  • Rashid, M. (2004). Power electronics circuits, devices and aplications. Upper Saddle River: Pretince Hall.

    Google Scholar 

  • Rocabert, J., Luna, A., Blaabjerg, F., & Rodríguez, P. (2012). Control of power converters in ac microgrids. IEEE Transactions on Power Electronics, 27(11), 4734–4749.

    Article  Google Scholar 

  • Rodríguez, J. R., Dixon, J. W., Espinoza, J. R., Pontt, J., & Lezana, P. (2005). Pwm regenerative rectifiers: State of the art. IEEE Transactions on Industrial Electronics, 52(1), 5–22. https://doi.org/10.1109/TIE.2004.841149.

    Article  Google Scholar 

  • Sauter, T., & Lobashov, M. (2011). End-to-end communication architecture for smartgrids. IEEE Transactions on Industrial Electronics, 58(4), 1218–1228.

    Article  Google Scholar 

  • Sithiravel, R., Chen, X., Tharmarasa, R., Balaji, B., & Kirubarajan, T. (2013). The spline probability hypothesis density filter. IEEE Transactions on Signal Processing, 61(24), 6188–203.

    Article  MathSciNet  MATH  Google Scholar 

  • Stojić, D., Milinković, M., Veinović, S., & Klasnić, I. (2015). Improved stator flux estimator for speed sensorless induction motor drives. IEEE Transactions on Power Electronics, 30(4), 2363–2371.

    Article  Google Scholar 

  • Takahashi, I., & Noguchi, T. (1986). A new quick-response and high-efficiency control strategy of an induction motor. IEEE Transactions on Industry Applications, IA–22(5), 820–827.

    Article  Google Scholar 

  • Xu, X., Donker, R. D., & Novotny, D. W. (1988). A stator flux oriented induction machine drive. In PESC’88 conference record (pp. 870–876).

  • Xu, Y., Dong, Z.-Y., Xu, Z., Meng, K., & Wong, K. P. (2012). An intelligent dynamic security assessment framework for power systems with wind power. IEEE Transactions on Industrial Informatics, 8(4), 995–1003.

    Article  Google Scholar 

  • Xue, Y., Xu, X., Halbetler, T. G., & Divan, D. M. (1990). A low cost stator flux oriented voltage source variable speed drive. In Conference record of the 1990 IEEE industrial aplications society annual meetting (Vol. 1, pp. 410–415).

  • Ye, L., Shi, C., Liao, H., Huang, R., & Wang, Y. (2013). Highly power-efficient active-rc filters with wide bandwidth-range using low-gain push–pull opamps. IEEE Transactions on Circuits and Systems I, Regular Papers, 60(1), 95–107.

    Article  MathSciNet  Google Scholar 

  • Zhang, Z., Zhao, Y., Qiao, W., & Qu, L. (2014). A space-vector-modulated sensorless direct-torque control for direct-drive pmsg wind turbines. IEEE Transactions on Industry Applications, 50(4), 2331–2341.

    Article  Google Scholar 

  • Zou, Y., Elbuluk, M., & Sozer, Y. (2013). Simulation comparisons and implementation of induction generator wind power systems. IEEE Transactions on Industry Applications, 49(3), 1119–1128.

    Article  Google Scholar 

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Authors and Affiliations

  1. Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC (UFABC), Santo André, São Paulo, Brazil

    A. J. Sguarezi Filho, J. S. Solís-Chaves, L. A. L. de Almeida, I. R. S. Casella & C. E. Capovilla

  2. Federal University of Bahia, Salvador, Bahia, Brazil

    Fabiano F. Costa

Authors
  1. A. J. Sguarezi Filho
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  2. J. S. Solís-Chaves
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  3. L. A. L. de Almeida
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  4. Fabiano F. Costa
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  5. I. R. S. Casella
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  6. C. E. Capovilla
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Correspondence to A. J. Sguarezi Filho.

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Appendix

Appendix

1.1 SCIG Parameters

\(R_s = 1\)\(\Omega \); \(R_r = 3.13 \)\(\Omega \); \(L_m = 191.7\) mH; \(L_{ls}=L_{lr}=200\) mH; \(PP = 2\); \(PN=3.7\) kVA; \(V_N=220\) V. \(fn = 60\) Hz;

1.2 Converter Parameters

\(L=32\) mH; \(C=1.25\) mF.

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Sguarezi Filho, A.J., Solís-Chaves, J.S., de Almeida, L.A.L. et al. A Wireless OFDM Control System of SCIG for Applications in Smart Grids Jointly Employing Convolutional Coding and FWMA Filtering. J Control Autom Electr Syst 30, 360–370 (2019). https://doi.org/10.1007/s40313-019-00452-3

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