Implementation of a New Algorithm with Fuzzy Inference in FPGA for Synchronous Generators Wind Turbine Against Loss-of-Field Protection Araújo, Carlos Magno B., Trondoli, Luiz Henrique P.C. 2017/04/25

Abstract

The present study aims to present the contribution of a new algorithm for synchronous generators wind protection and the assessment of the effectiveness of the performance of the Loss of
Field Protection Fuzzy (LOEPF), using Fuzzy inference implemented in reconfigurable computing with high level optimization of logical operations. A new model of sub and overexcitation by the wind
generator capacity curve for the steady-state stability limit is introduced, serving as the basis for the development of this new algorithm and the evaluation of the effectiveness of the same. The LOEPF algorithm is implemented in FPGA with acquisition of voltage and current signals, for carrying out the
tests of various conditions of simulated faults by means of a test box Doble F6150 compared with the results obtained with the use of a commercial relay. The results obtained in tests of the new algorithm showed superior performance compared to conventional protection, reducing lag time and time of trip. This feature allows for fast data throughput and processing allowing the relay handling samples high-frequency data and computational efficiency.

Authors and affiliations

Araújo, Carlos Magno B.¹, Trondoli, Luiz Henrique P.C².
¹Department of Research and Development - PWM Automation and Protection of Power Systems. Sao Paulo (Brazil)
² Department of Electrical Engineering, University of São Paulo - EESC, São Carlos. Brazil

Key words

Wind Power Generation; FPGA; Fuzzy Logic; Protection Against Loss-of-field; Synchronous Generator; Digital
Protection.

References

[1] Blackburn, J. Lewis, and Thomas J. Domin. Protective relaying: principles and applications. CRC press, 2015.
[2] Grigsby, Leonard L., ed. Power system stability and control. Vol. 5. CRC press, 2012.
[3] IEEE Guide for AC Generator Protection," in IEEE Std C37.102-2006 (Revison of IEEE Std C37.102-1995), pp.1-177,
2006.5.
[4] GAMESA Corporation, Presentation Overview, 2015. Available in:< ieee.rackoneup.net/rrvs/05/MH_Windfarm.ppt>.
[5] IEEE Recommended Practice for Excitation System Models for Power System Stability Studies," in IEEE Std 421.5-2005 (Revision of IEEE Std 421.5-1992), pp.0_1-85, 2006
[6] Chapman, Stephen. Electric machinery fundamentals. McGraw-Hill Education; 5 edition, 2011.
[7] GAMESA Corporation, Catalogo g9x de aerogeradores 2.0- 2.5MW, 2015. Available in:<http://www.gamesacorp.com /recursos/doc/productosservicios/aerogeneradores/nuevas-fichas/catalogo-plataformaseng.pdf >.
[8] Network Procedure - Submodule, “3.6 - Minimum Technical Requirements for the Connection to the Power Transmission Facilities, ” Operador Nacional do Sistema (ONS), September,2010.
[9] Ferrer, Hector J. Altuve, and Edmund O. Schweitzer, eds. Modern Solutions for Protection, Control, and Monitoring
of Electric Power Systems. Schweitzer Engineering Laboratories, 2010.
[10] S. Gdaim, A. Mtibaa and M. F. Mimouni, "Design and Experimental Implementation of DTC of an Induction
Machine Based on Fuzzy Logic Control on FPGA," in IEEE Transactions on Fuzzy Systems, vol. 23, no. 3, pp. 644-655,
June 2015.
[11] Senapati, S.; Das Bhattacharya, K.; Das, J.K., "Application of phasor measurement unit in adaptive protection for loss of excitation in a generator," in Power India International Conference (PIICON), 2014 6th IEEE, pp.1-5, 5-7 Dec. 2014.
[12] IEEE Standard Definitions for Excitation Systems for Synchronous Machines," in IEEE Std 421.1-2007 (Revision of
IEEE Std 421.1-1986), pp.1-33, July 15 2007.
[13] S. D. Muñoz and J. Hormigo, "High-Throughput FPGA Implementation of QR Decomposition," in IEEE Transactions
on Circuits and Systems II: Express Briefs, vol. 62, no. 9, pp. 861-865, Sept. 2015.
[14] Saban, Kirk. "Xilinx stacked silicon interconnect technology delivers breakthrough FPGA capacity, bandwidth, and
power efficiency." Xilinx White paper: Vertex-7 FPGAs (2011).