Ali ABDALI, Kazem MAZLUMI, Reza NOROOZIAN

A PRECISE FAULT LOCATION SCHEME FOR LOW-VOLTAGE DC MICROGRIDS SYSTEMS USING MULTI-LAYER PERCEPTRON NEURAL NETWORK

Nowadays, microgrids have attracted much attention in developed countries. The protection of DC systems, unlike conventional AC systems, is a highly challenging task. The acquaintance on fault location in distribution network causes for quick restoration, maintenance and decrease unnecessary power outage period. Neural Networks (NNs) are among the powerful, reliable approaches and are used in many different engineering applications. Also, Multi-Layer Perceptron (MLP) NNs are used for different estimating problems. This paper presents an accurate protection method for Low-Voltage DC (LVDC) ring-bus microgrid systems based on MLP NN. The aim of the proposed method is precise fault location estimation in microgrids, irrespective of the type and magnitude of fault, current, and the power supply quantity, by instantaneous current monitoring of each segment of the microgrid. Simulation results demonstrate the NN fault location estimation in percent of line length are in a suitable range. The results show that the estimation error is small and is within the permissible range. According to the results, efficiency and accuracy of MLP NN are confirmed. To do so, an LVDC ring-bus microgrid is used that utilizes solid-state bidirectional switches along with master and slave controllers

Keywords:

Fault location, neural network (NN) multi-layer perceptron (MLP), low voltage DC (LVDC) microgrids, solid-state circuit breaker,

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[1] Abdali, A., Noroozian, R., & Mazlumi, K. (2019). Simultaneous control and protection schemes for DC multi microgrids systems. International Journal of Electrical Power & Energy Systems, 104, 230-245. ‏DOI: 10.1016/j.ijepes.2018.06.054.
[2] F. Blaabjerg, R. Teodorescu, M. Liserre, and A. V. Timbus, “Overview of control and grid synchronization for distributed power generation systems,” IEEE Transactions on industrial electronics, vol. 53, no. 5, pp. 1398–1409, 2006.
[3] A. Abdali, K. Mazlumi and R. Noroozian, "Fast fault detection and isolation in low-voltage DC microgrids using fuzzy inference system," 2017 5th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS), Qazvin, 2017, pp. 172-177. IEEE, DOI: 10.1109/CFIS.2017.8003678.
[4] H. Nikkhajoei and R. H. Lasseter, “Distributed generation interface to the certs microgrid,” IEEE Transactions on Power Delivery, vol. 24, no. 3, pp. 1598–1608, 2009.
[5] F. Katiraei, R. Iravani, N. Hatziargyriou, and A. Dimeas, “Microgrids management,” IEEE Power and Energy Magazine, vol. 6, no. 3, pp. 54– 65, 2008.
[6] R. M. Cuzner and G. Venkataramanan, “The status of dc micro-grid protection,” in Industry Applications Society Annual Meeting, 2008. IAS’08. IEEE, pp. 1–8, IEEE, 2008.
[7] D. Salomonsson, L. Soder, and A. Sannino, “Protection of low-voltage dc microgrids,” IEEE Transactions on Power Delivery, vol. 24, no. 3, pp. 1045–1053, 2009.
[8] M. Saeedifard, M. Graovac, R. Dias, and R. Iravani, “Dc power systems: Challenges and opportunities,” in IEEE PES General Meeting, pp. 1–7, IEEE, 2010.
[9] P. Salonen, P. Nuutinen, P. Peltoniemi, and J. Partanen, “LVDC distribution system protection solutions, implementation and measurements,” in Power Electronics and Applications, 2009. EPE’09. 13th European Conference on, pp. 1–10, IEEE, 2009.
[10] T. Ericsen, N. Hingorani, and Y. Khersonsky, “Power electronics and future marine electrical systems,” in Petroleum and Chemical Industry Technical Conference, 2004. Fifty-First Annual Conference 2004, pp. 163–171, IEEE, 2004.
[11] J. Ren, S. Venkata, and E. Sortomme, “An accurate synchrophasor based fault location method for emerging distribution systems,” IEEE Transactions on Power Delivery, vol. 29, no. 1, pp. 297–298, 2014.
[12] L. Tang and B.-T. Ooi, “Locating and isolating dc faults in multiterminal dc systems,” IEEE transactions on power delivery, vol. 22, no. 3, pp. 1877–1884, 2007.
[13] S. Azizi, M. Sanaye-Pasand, M. Abedini, and A. Hasani, “A traveling wave based methodology for wide-area fault location in multiterminal dc systems,” IEEE Transactions on Power Delivery, vol. 29, no. 6, pp. 2552–2560, 2014.
[14] J.-D. Park and J. Candelaria, “Fault detection and isolation in low voltage dc-bus microgrid system,” IEEE Transactions on Power Delivery, vol. 28, no. 2, pp. 779–787, 2013.
[15] J. Das and R. H. Osman, “Grounding of ac and dc low-voltage and medium-voltage drive systems,” IEEE Transactions on Industry Applications, vol. 34, no. 1, pp. 205–216, 1998.
[16] H. Iwamoto, K. Satoh, M. Yamamoto, and A. Kawakami, “High-power semiconductor device: a symmetric gate commutated turn-off thyristor,” IEEE Proceedings Electric Power Applications, vol. 148, no. 4, pp. 363– 368, 2001.
[17] H. Iwamoto, K. Satoh, M. Yamamoto, and A. Kawakami, “High-power semiconductor device: a symmetric gate commutated turn-off thyristor,” IEE Proceedings-Electric Power Applications, vol. 148, no. 4, pp. 363– 368, 2001.
[18] E. L. Wellner and A. R. Bendre, “Igcts vs. igbts for circuit breakers in advanced ship electrical systems,” in 2009 IEEE Electric Ship Technologies Symposium, pp. 400–405, IEEE, 2009.
[19] P. Steimer, O. Apeldoorn, E. Carroll, and A. Nagel, “Igct technology baseline and future opportunities,” in Transmission and Distribution Conference and Exposition, 2001 IEEE/PES, vol. 2, pp. 1182–1187, IEEE, 2001.
[20] F. Luo, J. Chen, X. Lin, Y. Kang, and S. Duan, “A novel solid state fault current limiter for dc power distribution network,” in Applied Power Electronics Conference and Exposition, 2008. APEC 2008. Twenty-Third Annual IEEE, pp. 1284–1289, IEEE, 2008.
[21] W. Fei, Y. Zhang, and Z. Lu, “Novel bridge-type fcl based on self-turnoff devices for three-phase power systems,” IEEE Transactions on Power Delivery, vol. 23, no. 4, pp. 2068–2078, 2008.
[22] U. Ghisla, I. Kondratiev, and R. A. Dougal, “Branch circuit protection for dc systems,” in 2011 IEEE Electric Ship Technologies Symposium, pp. 234–239, IEEE, 2011.
[23] L. Fausett, Fundamentals of neural networks: architectures, algorithms, and applications. Prentice-Hall, Inc., 1994.
[24] M. T .Hagan and M. B. Menhaj, “Training feed forward network with the Marquardt algorithm,” IEEE Trans. on Neural Net., vol. 5, no. 6, pp.989-993, 1994.
[25] Andersen, T. J. and Wilamowski, B.M. “A Modified Regression Algorithm for Fast One Layer Neural Network Training,” World Congress of Neural Networks, Washington DC, USA, vol. 1, pp. 687- 690, July 17-21, 1995.
[26] Battiti, R., “First- and second-order methods for learning between steepest descent and Newton’s method,” Neural Computation, vol. 4, no. 2, pp. 141-166, 1992.
[27] A. Meghwani, S. C. Srivastava and S. Chakrabarti, “A Non-unit Protection Scheme for DC Microgrid Based on Local Measurements,” in IEEE Transactions on Power Delivery, vol. 32, no. 1, pp. 172-181, Feb. 2017.
[28] Song-Yi Lin and Chern-Lin Chen, “Analysis and design for RCD clamped snubber used in output rectifier of phase-shift full-bridge ZVS converters,” in IEEE Transactions on Industrial Electronics, vol. 45, no. 2, pp. 358-359, Apr 1998.

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ISSN: 1304-7191
Yayın Aralığı: Yılda 4 Sayı
Yayıncı: Yıldız Teknik Üniversitesi

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