Abstract
This work approaches relative aspects to the alarm processing problem and fault diagnosis in system level, having as purpose filter the alarms generated during a outage and identify the equipment under fault. A methodology was developed using Artificial Neural Networks (ANN) and Genetic Algorithms (GA) in order to resolve the problem. This procedure had as initiative explore the GA capacity to deal with combinatory problems, as well as the ANN processing speed and generalization capacity. Such strategy favors a fast and robust solution.
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References
Cardoso Jr., G.: Estimação da Seção em Falta em Sistemas Elétricos de Potência via Redes Neurais e Sistemas Especialistas Realizada em Nível de Centro de Controle. Florianópolis, 2003, p. 176. Tese (Doutorado em Engenharia Elétrica), Universidade Federal de Santa Catarina, Florianópolis (2003)
Fu, S., et al.: An Expert System for On-Line Diagnosis of System Faults and Emergency Control to Prevent a Blackout. In: IFAC Control of Power Plants and Power Systems – SIPOWER 1995, Cancun, Mexico, pp. 303–308 (1995)
Vale, M.H.M., et al.: Sta – Alarm Processing System. VIII Simpósio de Especialistas em Planejamento da Operação e Expansão Elétrica – VIII SEPOPE, Brasília, DF, Maio (2002)
Specht, D.F.: A General Regression Neural Network. IEEE Transactions on Neural Networks 2(6), 558–576 (1991)
Wen, F., Han, Z.: Fault section estimation in power systems using a genetic algorithm. Eletric Power Systems Research 34, 165–172 (1995)
Tanomaru, J.: Motivação, fundamentos e aplicações de algoritmos genéticos. In: II Congresso Brasileiro de Redes Neurais, Anais. Curitiba, PR, Brasil: [s.n.] (1995)
Wen, F.S., Chang, C.S., Srinivasan, D.: Probabilistic approach for fault-section estimation in power systems based on a refined genetic algorithm. IEE Proc. Gener. Transm. Distrib. 144(2), 160–168 (1997)
Wen, F.S., Chang, C.S.: Tabu search approach to alarm processing in power systems. IEE Proc. Gener. Transm. Distrib. 144(1), 160–168 (1997)
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Fritzen, P.C., Cardoso, G., Zauk, J.M., de Morais, A.P., Bezerra, U.H., Beck, J.A.P.M. (2010). Integrated Use of Artificial Neural Networks and Genetic Algorithms for Problems of Alarm Processing and Fault Diagnosis in Power Systems. In: Nguyen, N.T., Le, M.T., Świątek, J. (eds) Intelligent Information and Database Systems. ACIIDS 2010. Lecture Notes in Computer Science(), vol 5990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12145-6_38
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DOI: https://doi.org/10.1007/978-3-642-12145-6_38
Publisher Name: Springer, Berlin, Heidelberg
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