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Abstract
In this paper by using a back propagation (BP) control algorithm we will implement a three phase distribution static compensator (DSTATCOM) for its functions such as load balancing, harmonic elimination, and reactive power compensation or power factor correction, and zero voltage regulation under nonlinear loads. A BP-based control algorithm is used for the estimation of reference source currents by extraction of the fundamental weighted value of active and reactive power components of load currents. Using a digital signal processor we will develop a prototype for DSTATCOM, and its performance is analyzed under various operating conditions. The performance of DSTATCOM is found to be satisfactory with the proposed control algorithm for various types of loads.
Index Terms—Back propagation (BP) control algorithm, harmonics, load balancing, power quality, weights.##plugins.themes.academic_pro.article.details##
How to Cite
Kiran, R. S., & Nagaraju, M. (2015). A New Technique for Power Quality Improvement Using D-statcom By Back-Propagation Control Algorithm. International Journal of Emerging Trends in Science and Technology, 2(07). Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/829
References
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26. Y. Hao, X. Tiantian, S. Paszczynski, and B. M. Wilamowski, “Advantages of radial basis function networks for dynamic system design,†IEEE Trans. Ind. Electron., vol. 58, no. 12, pp. 5438–5450, Dec. 2011.
27. X. Jing and L. Cheng, “An optimal-PID control algorithm for training feed-forward neural networks,†IEEE Trans. Ind. Electron., vol. 60, no. 6, pp. 2273–2283, Jun. 2013.
28. F. Guangjie and Z. Hailong, “The study of the electric power harmonics detecting method based on the immune RBF neural network,†in Proc. 2nd Int. Conf. Intell. Comput. Technol. Autom., 2009, vol. 1, pp. 121–124.
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31. A. Zouidi, F. Fnaiech, K. Al-Haddad, and S. Rahmani, “Artificial neural networks as harmonic detectors,†in Proc. 32nd Annu. Conf. IEEE Ind. Electron., 2006, pp. 2889–2892.
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33. C. Ying and L. Qingsheng, “New research on harmonic detection based on neural network for power system,†in Proc. 3rd Int. Symp. Intell. Inf. Technol. Appl., 2009, vol. 2, pp. 113–116.
2. A. Ortiz, C. Gherasim, M. Manana, C. J. Renedo, L. I. Eguiluz, and R. J. M. Belmans, “Total harmonic distortion decomposition depending on distortion origin,â€IEEE Trans. Power Del.,v 20, no 4, pp.2651-2656,Oct 05.
3. T. L. Lee and S. H. Hu, “Discrete frequency-tuning active filter to suppress harmonic resonances of closed-loop distribution power systems,†IEEE Trans. Power Electron., vol. 26, no. 1, pp.137–148, Jan. 2011. 1212 IEEE Transactions On Industrial Electronics, Vol. 61, No. 3, March 2014
4. K. R. Padiyar, FACTS Controllers in Power Transmission and Distribution. New Delhi, India: New Age Int., 2008.
5. IEEE Recommended Practices and Requirement for Harmonic Control on Electric Power System, IEEE Std.519, 1992.
6. T.-L. Lee, S.-H. Hu, and Y.-H. Chan, “DSTATCOM with positive sequence admittance and negative-sequence conductance to mitigate voltage fluctuations in high-level penetration of distributed generation systems,†IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1417–1428, Apr. 2013.
7. B. Singh, P. Jayaprakash, and D. P. Kothari, “Power factor correction and power quality improvement in the distribution system,†Elect. India Mag., pp. 40–48, Apr. 2008.
8. J.-C. Wu, H. L. Jou, Y. T. Feng, W. P. Hsu, M. S. Huang, and W. J. Hou, “Novel circuit topology for three-phase active power filter,†IEEE Trans. Power Del., vol. 22, no. 1, pp. 444–449, Jan. 2007.
9. Z. Yao and L. Xiao, “Control of single-phase grid-connected inverters with nonlinear loads,†IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1384– 1389, Apr. 2013.
10. A. A. Heris, E. Babaei, and S. H. Hosseini, “A new shunt active power filter based on indirect matrix converter,†in Proc. 20th Iranian Conf. Elect. Eng., 2012, pp.581–586.
11. M. Sadeghi, A. Nazarloo, S. H. Hosseini, and E. Babaei, “A new DSTATCOM topology based on stacked multicell conv-erter,†in Proc. 2nd Power Electron., Drive Syst. Technol. Conf., 2011, pp. 205–210.
12. G. Benysek and M. Pasko, Power Theories for Improved Power Quality. London, U.K.: Springer-Verlag, 2012.
13. B. Singh and J. Solanki, “A comparison of control algorithms for DSTATCOM,†IEEE Trans. Ind. Electron., vol. 56, no. 7, pp. 2738–2745, Jul. 2009.
14. C. H. da Silva, R. R. Pereira, L. E. B. da Silva, G. Lambert-Torres, B. K. Bose, and S. U. Ahn, “A digital PLL scheme for three-phase system using modified synchronous reference frame,†IEEE Trans. Ind. Electron., vol. 57, no. 11, pp. 3814–3821, Nov. 2010.
15. S. Rahmani, A. Hamadi, and K. Al-Haddad, “A Lyapunov-function-based control for a three-phase shunt hybrid active filter,†IEEE Trans. Ind. Electron., vol. 59, no. 3, pp. 1418–1429, Mar. 2012.
16. S. Rahmani, N. Mendalek, and K. Al-Haddad, “Experimental design of a nonlinear control technique for three-phase shunt active power filter,†IEEE Trans. Ind. Electron., vol. 57, no. 10, pp. 3364–3375, Oct. 2010.
17. S. N. Sivanandam and S. N. Deepa, Principle of Soft Computing. New Delhi, India: Wiley India Ltd., 2010.
18. J. S. R. Jang, C. T. Sun, and E. Mizutani, Neuro Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Delhi, India: Pearson Educ. Asia, 2008.
19. P. Kumar and A. Mahajan, “Soft computing techniques for the control of an active power filter,†IEEE Trans. Power Del., vol. 24, no. 1, pp. 452– 461, Jan. 2009.
20. A. Bhattacharya and C. Chakraborty, “A shunt active power filter with enhanced performance using ANN-based predictive and adaptive controllers,†IEEE Trans. Ind. Electron., v 58, no 2, pp. 421–428,Feb. 2011.
21. L. L. Lai,W. L. Chan, and A. T. P. So, “A two-ANN approach to frequency and harmonic evaluation,†in Proc. 5th Int. Conf. Artif. Neural Netw., 1997, pp. 245–250.
22. X. Mao, “The harmonic currents detecting algorithm based on adaptive neural network,†in Proc. 3rd Int. Symp. Intell. Inf. Technol. Appl., 2009, vol. 3, pp. 51–53.
23. J.Wu, H. Pang, and X. Xu, “Neural-network-based inverse controlmethod for active power filter system,†in Proc. IEEE Int. Symp. Intell. Control, 2006, pp. 3094–3097.
24. H.-S. Ahn, Y. Q. Chen, and K. L. Moore, “Iterative learning control: Brief survey and categorization,†IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 37, no. 6, pp. 1099–1121, Nov. 2007.
25. B. Chen, S. Zhao, P. Zhu, and J. C. Principe, “Quantized kernel least mean square algo-rithm,†IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 1, pp. 22–32, Jan. 2012.
26. Y. Hao, X. Tiantian, S. Paszczynski, and B. M. Wilamowski, “Advantages of radial basis function networks for dynamic system design,†IEEE Trans. Ind. Electron., vol. 58, no. 12, pp. 5438–5450, Dec. 2011.
27. X. Jing and L. Cheng, “An optimal-PID control algorithm for training feed-forward neural networks,†IEEE Trans. Ind. Electron., vol. 60, no. 6, pp. 2273–2283, Jun. 2013.
28. F. Guangjie and Z. Hailong, “The study of the electric power harmonics detecting method based on the immune RBF neural network,†in Proc. 2nd Int. Conf. Intell. Comput. Technol. Autom., 2009, vol. 1, pp. 121–124.
29. J. Mazumdar, R. G. Harley, and G. K. Venayagamoorthy, “Synchronous reference frame based active filter current reference generation using neural networks,†in Proc. 32nd IEEE Annu. Conf. Ind. Electron., 2006, pp. 4404–4409.
30. J. Mazumdar, R. G. Harley, F. Lambert, and G. K. Venayagamoorthy, “A novel method based on neural networks to distinguish between load harmonics and source harmonics in a power system,†in Proc. IEEE Power Eng. Soc. Inaugural Conf. Expo. Africa, 2005, pp. 477–484.
31. A. Zouidi, F. Fnaiech, K. Al-Haddad, and S. Rahmani, “Artificial neural networks as harmonic detectors,†in Proc. 32nd Annu. Conf. IEEE Ind. Electron., 2006, pp. 2889–2892.
32. I. Jung and G. N. Wang, “Pattern classification of back-propagation algorithm using exclusive connecting network,†J. World Acad. Sci., Eng. Technol., vol. 36, pp. 189–193, Dec. 2007.
33. C. Ying and L. Qingsheng, “New research on harmonic detection based on neural network for power system,†in Proc. 3rd Int. Symp. Intell. Inf. Technol. Appl., 2009, vol. 2, pp. 113–116.