The week's pick
Random Articles
Reseach Article
Fuzzy Logic based Power Factor Control of Synchronous Machine
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 182 - Number 14 |
| Year of Publication: 2018 |
| Authors: Ahmed Nasser B. Alsammak |
10.5120/ijca2018917812
|
Ahmed Nasser B. Alsammak . Fuzzy Logic based Power Factor Control of Synchronous Machine. International Journal of Computer Applications. 182, 14 ( Sep 2018), 33-42. DOI=10.5120/ijca2018917812
Abstract
In this paper, a fuzzy logic technique is used to control the power factor (PF) that compensate the reactive power of the load by controlling the excitation system of synchronous machine. This fuzzy logic controller can give a fast response compensation to meet the required load reactive power and hence keeping the load bus at constant set point PF value. The V curve of PF is treated in a way to get the flexibility and the limitation the over or under values, as well as time delay could therefore be eliminated with such a control configuration. The results show that fuzzy based power factor controller using synchronous machine is reliable, sensitive, faster and more efficient compare with the other methods such as capacitor groups. Matlab-Simulink program was adopted for the architecture and learning procedure of fuzzy system depending of construct an input-output mapping based on both knowledge and stipulated input-output data pairs. A model of the synchronous machine was also presented in this paper. The variable DC voltage based excitation field current controller was built based on fuzzy logic controller to generate the firing angle of six-pulse rectifier circuit.
References
- Planning of Electric Power Distribution, Technical Principles, Published by Siemens AG 2016.
- T.W. Eberly and R.C. Schaefer, “Voltage versus VAr/ power-factor regulation on synchronous generators”, IEEE Transactions on Industry Applications ( Volume: 38, Issue: 6, Nov/Dec 2002, pp.1682 – 1687.
- Ramazan Bayindir, Ilhami Colak, Ersan Kabalci, Alper Gorgun, “PID controlled synchronous motor for power factor correction”, IEEE International Conference on Power Engineering, Energy and Electrical Drives, 2009.
- M.A. Abido and Y.L. Abdel-Magid, "A fuzzy basis function network for generator excitation control." IEEE Proceedings of The Sixth International Conference on Fuzzy Systems,3, pp. 1445-1450, 1997.
- E. Handschin, W. Hoffmann, F. Reyer, T. Stephanblome, U. Schlucking, D. Westermann and S.S. Ahmed, "A new method of excitation control based on fuzzy set theory" IEEE Transactions on Power Systems, 9(1),pp. 533-539, 1994.
- Rick Orman, “Power Factor Correction Solutions & Applications”, reference document, Eaton Corporation, 2012.
- Dr. Ahmed Nasser B. Alsammak, Abdulrazaq Ahmed M. Al-Nuaimy, “Transient Stability Improvement of Multi-machine Power Systems Using Modern Energy Storage Systems”, IJEIT, Volume 7, Issue 1, July 2017.
- Ahmed N. B. Al-Sammak, “A Fuzzy Logic Control of Synchronous Motor for Reactive Power Compensation”, PhD thesis, University of Mosul, 2017.
- I. Dobson and H.-D. Chiang, “Towards a theory of voltage collapse in electric power systems”, Systems and Control Letters, Vol. 13, 1989, pp. 253-262.
- M. F. Al-Kababji and Ahmed N. Al-Sammak, "Bifurcation and Voltage Collapse in the Electrical Power Systems", Al-Rafidain Engineering Journal Vol.13, No.1, 2005, pp.25-41.
- Dr. Ahmed Nasser B. Alsammak, Maan Hussein A. Safar, “Voltage stability margin improving by controlling power transmission paths”, IJEIT, Volume 7, Issue 1, July 2017.
- M. F. Al-Kababji and Ahmed N. Al-Sammak, "Adaptive Neuro-Fuzzy Inference System (ANFIS) Real Time Based Power Factor Control by Synchronous Machine", 1st EEC07, 26-28 June, 2007, FEEE, University of Aleppo-Syria, PS-5, pp.1-24.
- J.J. Buckley and E, Eslami, “An Introduction to Fuzzy Logic and Fuzzy Sets”, Physica-Verlag Heidelberg, Printed in Germany, 2002.
- Patrik Eklund, Lena Kallin and Tony Riissanen, ”Fuzzy Systems”, lecture notes, Department of Computing Science, Umeoa University, SE-901 87 Umeoa, Sweden, 2000.
- C. C. Lee, “Fuzzy logic in control systems: Fuzzy logic controller-part I and part II,” IEEE Trans. System, Man, Cybern., Vol. 20, 1990, pp. 404–435.
Index Terms
Keywords