Optimal Recloser Setting, Considering Reliability and Power Quality in Distribution Networks
American Journal of Electrical Power and Energy Systems
Volume 6, Issue 1, January 2017, Pages: 1-6
Received: Mar. 5, 2017;
Accepted: Mar. 14, 2017;
Published: Mar. 27, 2017
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Rashid Niaz Azari, Department of Electrical Engineering, Azad University, Sari, Iran
Mohammad Amin Chitsazan, Department of Electrical Engineering, University of Nevada, Reno, USA
Iman Niazazari, Department of Electrical Engineering, University of Nevada, Reno, USA
Reclosers and fuses are the commonplace protective devices in distribution networks. A recloser can prevent long-time outages by clearing temporary faults before operation of the fuses in the system. Thus, it decreases the rate of long-term outages and improves system reliability and power quality. Despite positive features of reclosers, each operation of a recloser causes a momentary voltage interruption that exacerbates power quality. Nowadays, power quality issues have become more important because of the increasing use of sensitive equipment to voltage interruptions. According to the mentioned concerns, it seems necessary to set reclosers to strike a balance between power quality and the effectiveness of fuse saving scheme. Thus, we proposed a method to set reclosers. Due to the random nature of faults, the proposed method is stochastic based on the Monte Carlo method. The proposed method determines the optimal number of operations, reclosing intervals, and protection zones. The proposed method efficiency is evaluated according to the simulation results, and the proposed method is capable of establishing an optimal trade-off between power quality and protection efficiency.
Rashid Niaz Azari,
Mohammad Amin Chitsazan,
Optimal Recloser Setting, Considering Reliability and Power Quality in Distribution Networks, American Journal of Electrical Power and Energy Systems.
Vol. 6, No. 1,
2017, pp. 1-6.
Gers, J. M., and Holmes, E. J., “Protection of electricity distribution networks,” IET Press, 1998.
M. A. Chitsazan, A. M Trzynadlowski, “Harmonic Mitigation in Interphase Power Controllers Using Passive Filter-Based Phase Shifting Transformer”, Energy Conversion Congress and Exposition (ECCE), 2016 IEEE, pp. 1-5, Sep. 2016.
I. Niazazari, H.A. Abyaneh, M. J. Farah, F. Safaei, andH. Nafisi,“Voltage profile and power factor improvement in PHEV charging station using a probabilistic model and flywheel,” In Electrical Power Distribution Networks (EPDC), 2014 19th Conference on pp. 100-105. May. 2014.
R. Jalilzadeh Hamidi and H. Livani, “A travelling wave-based fault location method for hybrid three-terminal circuits,” IEEE PES-GM, pp. 1-5, Jul. 2015.
R. Jalilzadeh Hamidi, H. Livani, “Traveling wave-based fault location algorithm for hybrid multi-terminal circuits,” IEEE Trans. Power Delivery, Vol. 32, No. 1, pp. 135-144, Feb. 2017.
Koner, P., and Ledwich, G.: ‘SRAT-distribution voltage sags and reliability assessment tool’, IEEE Trans. Power Delivery, 2004, vol. 19, pp. 738–744.
Patne, N. R., and Thakre, K. L., “Effect of transformer type on the estimation of financial loss due to voltage sag–PSCAD/EMTDC simulation study”, IET Generation, Transmission & Distribution, 2010, vol. 4, pp. 104–114.
IEEE Std C 37.60-2012, ‘High-voltage switchgear and control gear - Part 111: Automatic circuit reclosers and fault interrupters for alternating current systems up to 38 kV’, 2012.
Math H. Bollen, “Understanding power quality problems: voltage sags and interruptions,” Wiley-IEEE Press, ISBN: 9780470546840, 2000.
M. A. Chitsazan, A. M Trzynadlowski, “State Estimation of Power Systems with Interphase Power Controllers Using the WLS Algorithm”, Energy Conversion Congress and Exposition (ECCE), 2016 IEEE, pp. 1-5, Sep. 2016.
Koner, P., and Ledwich, G. ‘SRAT-distribution voltage sags and reliability assessment tool’, IEEE Trans. Power Delivery, 2004, vol. 19, pp. 738–744.
Williams, C., McCarthy, C., and Cook, C. J.: ‘Predicting reliability improvements’, IEEE Power and Energy Magazine, 2008, vol. 6, pp. 53-60.
Soudi, F., and Tomsovic, K., ‘Optimized distribution protection using binary programming’, IEEE Trans. Power Delivery, 1998, vol. 13, pp. 218–224.
Soudi, F., and Tomsovic, K. ‘Optimal trade-offs in distribution protection design’, IEEE Trans. Power Delivery, 2001, vol. 16, pp. 292-296.
Bupasiri, R., Wattanapongsakorn, N., Hokierti, j., and Coit, D. W. ‘Optimal electric power distribution system reliability indices using binary programming’, Annual Reliability and Maintainability Symposium, 2003, pp. 556-561.
Zambon, E., Bossois, D. Z., Garcia, B. B., and Azeredo, E. F.: ‘A novel nonlinear programming model for distribution protection optimization’, IEEE Trans. Power Delivery, 2009, vol. 24, pp. 1951–1958.
Haakana, J., Lassila, J., Kaipia, T., Partanen, J., “Comparison of Reliability Indices from the Perspective of Network Automation Devices,” IEEE Trans. Power Delivery, Vol. 25, No. 3, pp. 1547–1555, 2010.
V. Sarfi, I. Niazazari, and H. Livani, "Multiobjective fireworks optimization framework for economic emission dispatch in microgrids." North American Power Symposium (NAPS), 2016, pp. 1-6, Nov. 2016.
M. A. Chitsazan, G. B. Gharehpetian, M. Arbabzadeh,” Application of Voltage Source Convertor in Interphase Power Controller”, Proceedings of the World Congress on Engineering and Computer Science 2012 Vol II, WCECS 2012, October 24-26, 2012, San Francisco, USA.
R. Jalilzadeh Hamidi, H. Livani, S. H. Hosseinian, and G. B. Gharehpetian, “Distributed cooperative control system for smart microgrids,” Electric Power System Research, Vol. 130, pp. 241-250, 2016.
J. Chen and Q. Zhu, "A Game-Theoretic Framework for Resilient and Distributed Generation Control of Renewable Energies in Microgrids," IEEE Trans. Smart Grid, Vol. 8, No. 1, 2017.
S. Mark and S. Mordechai, “Applications of Monte Carlo method in science and engineering,” INTECH, 2011.
Martinez, J. A., and Martin-Arnedo, J. ‘Voltage sag studies in distribution network–part II: voltage sag assessment’, IEEE Trans. Power Delivery, 2006, vol. 21, pp. 1679–1688.
G. Celli, Emilio GHIANI, Fabrizio Pilo, Sergio Tedde, “Extending switching reclosing time to reduce interruptions in distribution networks,” C I R E D, 21 St. International Conference on Electricity Distribution Frankfurt, 6-9 June 2011.
G. Celli, E. Ghiani, F. Pilo, S. Tedde, “A probabilistic fault arc reignition model for mv distribution networks,” 17-th Power Systems Computation Conference, Stockholm Sweden - August 22-26, 2011.
COOPER, Analysis of distribution systems reliability and outage rate, R280-90-7, 2004.
Jamali, S., and Shateri, H. ‘Optimal siting of recloser and sectionalizers to reduce non-distributed energy’, IEEE PES Transmission and Distribution Conference and Exhibition: Asia and Pacific, Dalian, China, 2005, pp. 1–7.