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.



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.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 15)
Pages: 13-18 Date of Publication: 2017/04/25
ISSN: 2172-038X Date of Current Version:
REF: 203-17 Issue Date: April 2017
DOI:10.24084/repqj15.203 Publisher: EA4EPQ

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


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