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http://dx.doi.org/10.5370/JEET.2017.12.4.1376

Estimation of Voltage Swell Frequency Caused by Asymmetrical Faults  

Park, Chang-Hyun (Dept. of Electrical Engineering, Pukyong National University)
Publication Information
Journal of Electrical Engineering and Technology / v.12, no.4, 2017 , pp. 1376-1385 More about this Journal
Abstract
This paper proposes a method for estimating the expected frequency of voltage swells caused by asymmetrical faults in a power system. Although voltage swell is less common than voltage sag, repeated swells can have severe destructive impact on sensitive equipment. It is essential to understand system performance related to voltage swells for finding optimal countermeasures. An expected swell frequency at a sensitive load terminal can be estimated based on the concept of an area of vulnerability (AOV) and long-term system fault data. This paper describes an effective method for calculating an AOV to voltage swells. Interval estimation for an expected swell frequency is also presented for effective understanding of system performance. The proposed method provides long-term performance evaluation of the frequency and degree of voltage swell occurrences.
Keywords
Asymmetrical faults; Interval estimation; Power quality; Single line to ground fault; Voltage swells;
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1 C. H. Park and G. Jang, "Stochastic Estimation of Voltage Sags in a Large Meshed Network," IEEE Trans. Power Delivery, vol. 22, no. 3, pp. 1655-1664, Jul. 2007.   DOI
2 C. H. Park and G. Jang, "Systematic Method to Identify an Area of Vulnerability to Voltage Sags," IEEE Trans. Power Delivery, vol. 32, no. 3, pp. 1583-1591, Jun. 2017.   DOI
3 S. C. Chapra, and R. P. Canale, Numerical Methods for Engineers (7th ed.), New York: McGraw-Hill, 2014.
4 S. C. Chapra, Applied Numerical Methods with MATLAB: for Engineers & Scientists (3rd ed.), McGraw-Hill Education, 2011.
5 IEEE 30-bus Test Case, [Online]. Available: http://www.ee.washington.edu/research/pstca/pf30/pg_tca30bus.htm
6 J. Wang, S. Chen, and T. T. Lie, "System Voltage Sag Performance Estimation," IEEE Trans. Power Delivery, vol. 20, no. 2, pp. 1738- 1747, Apr. 2005.
7 R. C. Dugan, M. F. McGranaghan, S. Santoso, and H. W. Beaty, Electrical Power Systems Quality, 3rd ed. McGraw-Hill, 2012, pp. 11-43.
8 P. M. Curtis, Maintaining Mission Critical Systems in a 24/7 Environment, John Wiley & Sons, 2011.
9 C. H. Park, G. Jang, R. J. Thomas, "The influence of generator scheduling and time-varying fault rates on voltage sag prediction," IEEE Trans. Power Delivery, vol. 23, no. 2, pp. 1243-1250, 2008.   DOI
10 C. Woodford and C. Phillips, Numerical Methods with Worked Examples: Matlab Edition, 2nd ed., Springer Science & Business Media, 2011, pp. 169-174.
11 V. Laoharojanaphand and N. Hoonchareon, "Fault recorder data refinement for accurate fault location in a transmission system," Power Engineering and Automation Conference (PEAM), 2012 IEEE, Wuhan, 2012, pp. 1-4.
12 M. Korkali and A. Abur, "Use of sparsely distributed synchronized recorders for locating faults in power grids," Electrical and Electronics Engineering (ELECO), 2011 7th International Conference on, Bursa, 2011, pp. I-1-I-5.
13 M. H. J. Bollen, Understanding Power Quality Problems: Voltage Sags and Interruptions, Piscataway, NJ, IEEE Power Engineering Series, 2000.
14 J. Perez, "A guide to digital fault recording event analysis," Protective Relay Engineers, 2010 63rd Annual Conference for, College Station, TX, 2010, pp. 1-17.
15 T. Adu, "An accurate fault classification technique for power system monitoring devices," in IEEE Trans. Power Delivery, vol. 17, no. 3, pp. 684-690, Jul 2002.
16 M. Musaruddin and R. Zivanovic, "Web Services for Automated Fault Analysis in Electrical Power System," INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on, Seoul, 2009, pp. 829-832.
17 V. E. A. Van Acker, "Transient stability assessment and decision-making using risk," Retrospective Theses and Dissertations. Paper 12291. Iowa State University, 2000.
18 P. G. H. Mulder, "An exact method for calculating a confidence interval of a poisson parameter," American Journal of Epidemiology, vol.117, no.3, pp.377, 1983.
19 R. A. Dovich, Quality Engineering Statistics, ASQ Quality Press, 1992.
20 S. R. Naidu, G. V. de Andrade, E. G. da Costa, "Voltage Sag Performance of a Distribution System and Its Improvement," IEEE Trans. Industry Applications, vol. 48, no. 1, pp. 218-224, 2012.   DOI
21 C. H. Park and G. Jang, "Voltage Quality Assessment Considering Low Voltage Ride-Through Requirement for Wind Turbines," IET Gener. Transm. Distrib., vol. 10, no. 16, pp. 4205-4212, 2016.   DOI
22 M. H. J. Bollen, "Method of critical distances for stochastic assessment of voltage sags," IEE Proc. Gener. Transm. Distrib., vol. 145, no.1, pp. 70-76, 1998.   DOI
23 A. K. Goswami, C. P. Gupta, G. K. Singh, "Voltage Sag Assessment in a Large Chemical Industry," IEEE Trans. Industry Applications, vol. 48, no. 5, pp. 1739-1746, 2012.   DOI
24 C. Ceja-Espinosa, A. Ramos-Paz, E. Espinosa-Juarez, "Parallelization of the Fault Positions Method for stochastic assessment of voltage sags," Power, Electronics and Computing (ROPEC), 2013 IEEE International Autumn Meeting, Mexico City, 2013, pp. 1-5.
25 J. W. Sagre, J. E. Candelo, J. H. Montana, "Voltage sag assessment using an extended fault positions method and Monte Carlo simulation," DYNA, vol. 83, no. 195, pp. 180-188, 2016.