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LIGHTNING ARRESTER MODELING           USING ATP -EMTP                   BY              NEHA KARDAM           M.TECH (POWE...
INTRODUCTION     Metal Oxide Surge Arrester has been in service since 1976.     They protect major electrical equipment ...
 These failures have been reduced using Metal oxide surge      arrester, by moisture ingress or contamination, to a level...
THE ADVANTAGE OF METAL OXIDE SURGE    ARRESTER IN COMPARISON WITH SILICON    CARBIDE GAPPED ARRESTER     Simplicity of de...
DISADVANTAGE OF METAL OXIDE    SURGE ARRESTER     Voltage is continually resident across the metal oxide and      produce...
 Operating analysis of metal oxide surge arrester, IEEE      and Pinceti model, using ATP-EMTP is done.     The lightnin...
IEEE MODEL     The model recommended by IEEE W.G 3.4.11 .     In this model the non-linear V-I characteristic is      ob...
 On the contrary, during fast surges, the impedance of      the filter becomes significant, and causes a current      dis...
 The comparison of the calculated peak values with the      measured values shows that the frequency dependent      model...
 The inductance L1 and the resistance R1 of the model       comprise the filter between the two non-linear       resistan...
PENCETI MODEL      The operating principle is quite similar to that of the       IEEE frequency-dependent model.11
PINCETI MODEL     The model here presented derives from the standard       model, with some minor differences. By comparin...
STATIC CHARACTERSTICS OF THE     NON LINEAR ELEMENT     These curve derives     from the curves     proposed by IEEE     W...
 To define the inductances, the following equations can be       used :-       L1 = ¼ [(V r1/T2 –V r8/20) ÷V r8/20 ] * Vn...
DATA USING IN THE MODEL (PRECISE     PAZ-P09-1-9KV 10KA CLASS 1)                 IEEE Model15
Pinceti Model16
DATA USING IN THE MODEL (OHIO     BRASS PVR 221617)                 IEEE Model17
Pinceti Model18
MODELING RESULTS OF PRECISE     PAZ – P09-1     Modeling results and errors in each model prepare              With manufa...
Percent error of each model prepare with            manufacture’s data sheets.20
 IEEE model has errors higher than Pinceti model in the       high current testing more than 10 kA with standard       wa...
MODELING RESULTS OF OHIO BRASS     PVR 221617     Modeling results and errors in each model prepare              with manu...
Percent error of each model prepare with             manufacture’s data sheets.23
 IEEE model has errors higher than Pinceti model both       for the standard wave front (8/20 µs.) testing and       swit...
CONCLUSION      The percentage errors from the modeling result can be          describes as follows :     1.     At stand...
 Both models can predict the operation of the metal       oxide surge arrester in the system.      There is less than 5%...
REFERENCE      IEEE Working Group 3.4.11 Application of Surge Protective Devices Subcommittee        Surge Protective Dev...
THANK YOU28
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  1. 1. LIGHTNING ARRESTER MODELING USING ATP -EMTP BY NEHA KARDAM M.TECH (POWER SYSTEM) (11/PPS/010)1
  2. 2. INTRODUCTION  Metal Oxide Surge Arrester has been in service since 1976.  They protect major electrical equipment from damage by limiting overvoltage and dissipating the associated energy  Metal Oxide surge Arrester should be highly reliable in most application because the metal oxide surge arrester are less fail than silicon carbide arrester as a result of moisture ingress and contamination.  Experience has shown that most failures of silicon carbide arrester occur because gap spark over.2
  3. 3.  These failures have been reduced using Metal oxide surge arrester, by moisture ingress or contamination, to a level low enough to permit repetitive spark over at or near normal operating voltage.  Gaps are not required in metal oxide surge arrester.  The elimination of gaps results in an increased probability of failure of metal oxide surge arrester on system overvoltage lower than normally required to cause the spark over of gapped arresters.  metal oxide surge arresters might be more vulnerable to high energy lightning surge than silicon carbide arresters.3
  4. 4. THE ADVANTAGE OF METAL OXIDE SURGE ARRESTER IN COMPARISON WITH SILICON CARBIDE GAPPED ARRESTER  Simplicity of design, which improves overall quality and decreases moisture ingress.  Easier to maintenance especially to clear arc.  Increased energy absorption capability.4
  5. 5. DISADVANTAGE OF METAL OXIDE SURGE ARRESTER  Voltage is continually resident across the metal oxide and produces a current of about one milli ampere. While this low-magnitude current is not detrimental.  Higher currents, resulting from excursions of the normal power frequency voltage or from temporary over voltages such as from faults or ferroresonance, produce heating in the metal oxide.  If the temporary overvoltage are sufficiently large in magnitude are long in duration, temperatures may increase sufficiently so that thermal runaway and failure occur5
  6. 6.  Operating analysis of metal oxide surge arrester, IEEE and Pinceti model, using ATP-EMTP is done.  The lightning arrester models base on the Ohio Brass PVR 221617 21kV and Precise PAZ-P09-1 9 kV 10kA class 1 by applying standard impulse current wave (8/20 µsec) is being used.  The models can predict the operation of the metal oxide surge arrester in the system within 10% errors.6
  7. 7. IEEE MODEL  The model recommended by IEEE W.G 3.4.11 .  In this model the non-linear V-I characteristic is obtained.  For slow surges the filter impedance is extremely low and A0 and A1 are practically connected in parallel7
  8. 8.  On the contrary, during fast surges, the impedance of the filter becomes significant, and causes a current distribution between the two branches.  For precision sake, the current through the branch A0 rises when the front duration decreases.  A0 resistance is greater than A1 resistance for any given current, the faster the current surge, the higher the residual voltage.8
  9. 9.  The comparison of the calculated peak values with the measured values shows that the frequency dependent model gives accurate results for discharge currents with times to crest between about 0.5 µs and 45 µs.  The main problem of this model is how to identify its parameters. The W.G.3.4.11 suggests an iterative procedure where corrections on different elements are necessary until a satisfactory behavior is obtained.  The starting values can be obtained through formulas that take into account both the electrical data (residual voltages), and the physical parameters (overall height, block diameter, columns number)9
  10. 10.  The inductance L1 and the resistance R1 of the model comprise the filter between the two non-linear resistances. The formulas for these two parameters are L1 = 15 d/n μH R1 = 65 d/n Ω and for , L0 = 0.2 d/n μH R0 = 100 d/n Ω C = 100 n/d pF10
  11. 11. PENCETI MODEL  The operating principle is quite similar to that of the IEEE frequency-dependent model.11
  12. 12. PINCETI MODEL The model here presented derives from the standard model, with some minor differences. By comparing the frequency dependent model and pinceti model, it can noted that :-  The capacitance is eliminated, since its effects on model behavior is negligible.  The two resistances in parallel with the inductances are replaced by one resistance R (about 1 MΩ) between the input terminals, with the only scope to avoid numerical troubles.12
  13. 13. STATIC CHARACTERSTICS OF THE NON LINEAR ELEMENT These curve derives from the curves proposed by IEEE W.G.3.4.11, and are referred to the peak value of the residual voltage measured during a discharge test with a 10 kA lightning current impulse.13
  14. 14.  To define the inductances, the following equations can be used :- L1 = ¼ [(V r1/T2 –V r8/20) ÷V r8/20 ] * Vn µH L0= 1/12 [ (V r1/T2 –V r8/T2 )÷V r8/20]* Vn µH14
  15. 15. DATA USING IN THE MODEL (PRECISE PAZ-P09-1-9KV 10KA CLASS 1) IEEE Model15
  16. 16. Pinceti Model16
  17. 17. DATA USING IN THE MODEL (OHIO BRASS PVR 221617) IEEE Model17
  18. 18. Pinceti Model18
  19. 19. MODELING RESULTS OF PRECISE PAZ – P09-1 Modeling results and errors in each model prepare With manufacture’s data sheets.19
  20. 20. Percent error of each model prepare with manufacture’s data sheets.20
  21. 21.  IEEE model has errors higher than Pinceti model in the high current testing more than 10 kA with standard wave front (8/20 µs.)  When testing with the steep wave front, Pinceti model has errors higher than IEEE model.  for the switching impulse testing, the percentage errors are equal.21
  22. 22. MODELING RESULTS OF OHIO BRASS PVR 221617 Modeling results and errors in each model prepare with manufacture’s data sheets.22
  23. 23. Percent error of each model prepare with manufacture’s data sheets.23
  24. 24.  IEEE model has errors higher than Pinceti model both for the standard wave front (8/20 µs.) testing and switching impulse testing.  When testing with the steep wave front, Pinceti model has errors higher than IEEE model.24
  25. 25. CONCLUSION  The percentage errors from the modeling result can be describes as follows : 1. At standard wave front percentage errors of IEEE model is higher than Pinceti model. 2. At steep wave front percentage errors of IEEE model is less than Pinceti model. 3. At switching overvoltage condition percentage errors of IEEE model is nearly the same as Pinceti model.25
  26. 26.  Both models can predict the operation of the metal oxide surge arrester in the system.  There is less than 5% errors for standard wave front (8/20 µs.) at 5-20 kA .  less than 10% errors for standard wave front (8/20 µs.) at others.  less than 10% errors for steep wave front and less than 14% for switching impulse testing.26
  27. 27. REFERENCE  IEEE Working Group 3.4.11 Application of Surge Protective Devices Subcommittee Surge Protective Devices committee, ”Modeling of Metal Oxide Surge Arrester,” IEEE Transaction on Power Delivery, Vol.7, No.1, pp 302-309, January 1992.  P. Pinceti , M. Giannttoni, “A simplified model for zinc oxide surge arrester,” IEEE Transaction on Power Delivery, Vol. 14, No.2, pp 393-398, April 1999.  E.C. Sakshaug, J.J. Bruke, J.S. Kresge, ”Metal Oxide Arrester on Distribution system Fundamental Considerations,” IEEE Transaction on Power Delivery, Vol.4, No. 4, pp 2076-2089, October 1989.  Ikmo Kim, Toshihisa Funabashi, Haruo Sasaki, Toyohisa Hagiwara, Misao Kobayashi, “A study of ZnO Arrester Model for Steep Front wave,” IEEE Transaction on Power Delivery, Vol.11, No. 2, pp 834841 April 1996.  Andrew R. Hileman ,”Insulation Coordination for Power systems,”Marcel Dekker,Inc., New York Basel ,1999.27
  28. 28. THANK YOU28
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