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Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator
Keywords:
Self-Excited Induction Generator, Artificial Neural NetworksAbstract
It is observed that conventional techniques to analyse the steady state analysis of Self-Excited Induction Generator (SEIG) involve cumbersome mathematical procedures. In this paper an Artificial Intelligence (AI) technique has been used to analyse the behaviour of Self-Excited Induction Generator, which does not require rigorous modelling as required in conventional techniques. Proposed Artificial Neural Network (ANN) model has been implemented to predict the effect of speed, capacitance and load on generated voltage and frequency of SEIG. Experimental data is used for the training of ANN. Results obtained from the trained ANN are found to be in close agreement with the experimental results.
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References
[1] R. C. Bansal, T. S. Bhatti, and D. P Kothari," Energy Conversion and Management”, Vol. 43, 2002, pp 2175-2187.
[2] E. D. Basset, F. M. Potter, "Capacitive excitation for induction generator", AIEE Transactions. (Elect. Eng.), Vol. 54, 1935, pp 540–545.
[3] C. F. Wagner, "Self-excitation of induction motors", AIEE Transactions. (Elect. Eng.) Vol.58, 1939, pp 47–51.
[4] C. F. Wagner, "Self-Excitation of Induction Generator with Series Capacitors", Transactions. AIEE, Vol. 60, 1941, pp 1241-47
[5] S. Rajakauna and R. Bonert, “A Technique for the Steady State Analysis of Self- Excited Induction Generator with Variable Speed”, Transactions on Energy Conversion, Vol. 8, No.4, 1993.
[6] S.S.Murthy,O.P.MalikandA.K.Tandon, "Analysis of Self Excited Induction Generators", Proceedings IEE, Vol. 6, part 129, 1982, pp 260-265.
[7] N.H.Malik,S.E.Haque,"SteadyState Analysis and Performance of an Isolated Self-Excited Induction Generator", IEEE Transactions on Energy Conversion, Vol.3, 1986, pp 134-139.
[8] T. F. Chan, "Steady State Analysis of Self Excited Induction Generator", IEEE Transactions on Energy Conversion, Vol. 9, (2), 1994, pp 288-296.
[9] Bhim Singh, "Induction Generator – A Prospective", Electric Machines and Power Systems, Vol. 23, 1995, pp 163.
[10] K. S. Sandhu and S. K. Jain, “Operational Aspects of SEIG Using a New Model”, Electric Machines and Power Systems, Vol. 27, 1999, pp 169-180.
[11] Siva PrakashVelpula and Biswarup Das, "Distribution System Bus Voltage Estimation Using ANN", Proc. of International Conf. on Computer Application in Electrical Engineering, Recent Advances, IIT-Roorkee,2002.
[12] A. K. Goel and S. Bhanot, "Modeling of Continually Stirred Tank Heater With ANNs Using Successive Over-Relaxation Backpropagation Algorithm", in Asian Control Conference ASCC2002 held at Singapore in 2002, pp 614-617
[13] P. K. Chaturvedi, P. S. Satsangi, and P. K. Kalra, "Flexible Neural Network Models for Electric Machines", Inst. of Engineers, Vol. 80, 1999.
[14] M. Riedmiller and H. Braun, “A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm”, ICNN’ 93, Proceedings of the Annual ICNN Conference (San Francisco:CA), pp. 586-591.
[2] E. D. Basset, F. M. Potter, "Capacitive excitation for induction generator", AIEE Transactions. (Elect. Eng.), Vol. 54, 1935, pp 540–545.
[3] C. F. Wagner, "Self-excitation of induction motors", AIEE Transactions. (Elect. Eng.) Vol.58, 1939, pp 47–51.
[4] C. F. Wagner, "Self-Excitation of Induction Generator with Series Capacitors", Transactions. AIEE, Vol. 60, 1941, pp 1241-47
[5] S. Rajakauna and R. Bonert, “A Technique for the Steady State Analysis of Self- Excited Induction Generator with Variable Speed”, Transactions on Energy Conversion, Vol. 8, No.4, 1993.
[6] S.S.Murthy,O.P.MalikandA.K.Tandon, "Analysis of Self Excited Induction Generators", Proceedings IEE, Vol. 6, part 129, 1982, pp 260-265.
[7] N.H.Malik,S.E.Haque,"SteadyState Analysis and Performance of an Isolated Self-Excited Induction Generator", IEEE Transactions on Energy Conversion, Vol.3, 1986, pp 134-139.
[8] T. F. Chan, "Steady State Analysis of Self Excited Induction Generator", IEEE Transactions on Energy Conversion, Vol. 9, (2), 1994, pp 288-296.
[9] Bhim Singh, "Induction Generator – A Prospective", Electric Machines and Power Systems, Vol. 23, 1995, pp 163.
[10] K. S. Sandhu and S. K. Jain, “Operational Aspects of SEIG Using a New Model”, Electric Machines and Power Systems, Vol. 27, 1999, pp 169-180.
[11] Siva PrakashVelpula and Biswarup Das, "Distribution System Bus Voltage Estimation Using ANN", Proc. of International Conf. on Computer Application in Electrical Engineering, Recent Advances, IIT-Roorkee,2002.
[12] A. K. Goel and S. Bhanot, "Modeling of Continually Stirred Tank Heater With ANNs Using Successive Over-Relaxation Backpropagation Algorithm", in Asian Control Conference ASCC2002 held at Singapore in 2002, pp 614-617
[13] P. K. Chaturvedi, P. S. Satsangi, and P. K. Kalra, "Flexible Neural Network Models for Electric Machines", Inst. of Engineers, Vol. 80, 1999.
[14] M. Riedmiller and H. Braun, “A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm”, ICNN’ 93, Proceedings of the Annual ICNN Conference (San Francisco:CA), pp. 586-591.
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Published
2006-10-02
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[1]
“Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator”, JCS&T, vol. 6, no. 02, pp. p. 73–79, Oct. 2006, Accessed: Jan. 14, 2026. [Online]. Available: https://journal.info.unlp.edu.ar/JCST/article/view/817
