Efficiency improvement of switched reluctance generator using optimization techniques

• Autorzy: Reis M. R. C. , Araújo W. R. H. , Calixto W. P.

Identyfikatory

DOI

10.22149/teee.v2i1.91

• Języki publikacji: EN

Abstrakty

EN

This article introduces the switched reluctance machine operating as a generator. This kind of electrical machine delivers CC power at the output and the energy generated can be controlled through several variables. In this work, the switching angles of the machine's power converter are optimized using deterministic and heuristic techniques so that the output power is kept constant via PI controller while guaranteeing maximum value for machine performance, even for different excitation values and mechanical power on the shaft.

Słowa kluczowe

EN

switched reluctance generator; optimization; control; genetic algorithm

• Wydawca: EEEIC International Publishing
• Czasopismo: Transactions on Environment and Electrical Engineering
• Rocznik: 2017
• Tom: Vol. 2, No. 1
• Strony: 74--80
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Reis M. R. C.

• Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State, Brazil
• School of Electrical Engineering, Mechanical and Computer (EMC), Federal University of Goias (UFG)

autor

Araújo W. R. H.

• Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State, Brazil
• School of Electrical Engineering, Mechanical and Computer (EMC), Federal University of Goias (UFG)

autor

Calixto W. P.

• Experimental & Technological Research and Study Group (NExT), Federal Institute of Goias (IFG), Goiania, Goias State, Brazil
• School of Electrical Engineering, Mechanical and Computer (EMC), Federal University of Goias (UFG)

Bibliografia

• [1] Z. Qixue. A small single-phase switched reluctance generator for wind power generation. ICEMS 2001 proceeding of the fifth international conference electrical machines and systems. 2001. Vol 2, Aug 2001, pages 1003-1006.
• [2] M. Nassereddine, J. Rizk, and M. Nagrial. Switched Reluctance Generator for Wind Power Applications. World Academy of Science, Engineering and Technology International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, Vol. 2, No 5, 2008.
• [3] K. Bouchoucha, H. Yahia, M.N. Mansouri. Particle Swarm Optimization of Switched Reluctance Generator based Distributed Wind Generation. Journal of Multidisciplinary Engineering Science and Technology (JMEST), ISSN: 3159-0040 Vol. 1, Issue 4, November - 2014.
• [4] Juha Pyrhonen. Electrical Drives. LUT (Lappeenranta University of Technology), Department of Electrical Engineering. Finland.
• [5] Araujo, Wandeson R.H., Ganzaroli, Cleber A., Calixto, Wesley. P., Alves, Aylton J., Viajante, Ghunter P., Reis, Marcio R.C., Silveira, Augusto F.V., Firing angles optimization for Switched Reluctance Generator using Genetic Algorithms. In: 2013 13th International Conference on Environment and Electrical Engineering (EEEIC), 2013, Wroclaw. 2013 13th International Conference on Environment and Electrical Engineering (EEEIC), 2013. p. 217.
• [6] T.J.E. Miller. Switched Reluctance Motors and Their Control. Oxford, U.K., Clarendon, 1993.
• [7] Michalewicz, Zbigniew. genetic algorithms + data structures= evolution programs. Springer, (1996).
• [8] Calixto, Wesley Pacheco, et al. "parameters estimation of a horizontal multilayer soil using genetic algorithm". Power Delivery, IEEE Transactions on 25.3 (2010): 1250-1257.
• [9] M.R.C. Reis, Calixto W.P., Araújo Wanderson Rainer Hilário de, Alves A.J., Domingos J.L., Switched reluctance generator efficiency improvement for wind energy applications. In: 16th IEEE International Conference on Environment and Electrical Engineering, 2016, Florença. 16th IEEE International Conference on Environment and Electrical Engineering, 2016.
• [10] M.R.C. Reis, Márcio Rodrigues da Cunha Reis. Análise Comparativa de Métodos de Otimização Aplicados à Sintonia do Controlador PI.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).