Research Article
BibTex RIS Cite
Year 2023, Volume: 27 Issue: 1, 113 - 119, 28.02.2023
https://doi.org/10.16984/saufenbilder.910618

Abstract

References

  • [1] C. Z. Mooney, “Monte Carlo Simulation,” SAGE Publications, no. 116, 1997.
  • [2] C. E. Papadopoulos, H. Yeung, “Uncertainty estimation and Monte Carlo simulation method,” Flow Measurement and Instrumentation, vol. 12, no. 4, pp. 291-298, 2001.
  • [3] C. Dalziel, F. Berkeley, “Types and effects of electric current,” Electrical Engineering, no. 190, pp. 72-80, 2011.
  • [4] C. Nuran, “Comparison of anti-statical footwears’ electical resistance test between under laboratory conditions and under work conditions while they are Used, Ministry of the Labor and Social Security,” Occupational Health and Safety Directorate Thesis for Occupational Health and Safety Expertise, Ankara, 2016.
  • [5] A. Çobanoğlu, G. Demirkıan, M. Güneş, “Design of a solar-assisted charging station for electric vehicles in İzmir,” European Journal of Science and Technology, no. 21, pp. 635-648, 2021.
  • [6] H. İ. Genç, M. Varan, “Implementation of visual programming methods for numerical techniques used in electromagnetic field theory,” Sakarya University Journal Of Science, vol. 4, no. 21, pp. 672-680, 2017.
  • [7] V. Periyasamy, M. Pramanik, “Advances in Monte Carlo Simulation for Light Propagation in Tissue,” IEEE Reviews in Biomedical Engineering, no. 10, pp. 122-135, 2017.
  • [8] T. Baležentis, D. Streimikiene, “Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation,” Applied Energy, no. 185, pp. 862-871, 2017.
  • [9] A. M. L. Silva, “Risk assessment in probabilistic load flow via monte carlo simulation and cross-entropy method,” IEEE Transactions on Power Systems, vol. 34, no. 2, pp. 1193-1202, 2019.
  • [10] G. Marmidis, S. Lazarou, E. Pyrgioti, “Optimal placement of wind turbines in a wind park using Monte Carlo simulation,” Renewable Energy, vol. 33, no. 7, pp. 1455-1460, 2008.
  • [11] M. Yagimli, H. Tozan, “Occupational health and safety in electric works,” Sixth edition, Beta Publisher, 76, ISBN:978-605-242-735-4, 2020.
  • [12] C. Espinoza, F. Villavicencio, O. Cuzco, J. Aguilar, “Time response laboratory analysis for residual current devices,” IEEE PES Innovative Smart Grid Technologies Conference, Latin America, ISGT Latin America, Quito, Ecuador, pp. 1-6, 2017.
  • [13] C. Andrews, “Electrical aspects of lightning strike to humans,” Fifth edition, The Lightning Flash, IEEE Press, London, pp. 548-564, 2003.
  • [14] M. Bayram, İ. Ilısu, “Security and Grounding in Electrical Facilities,” UCTEA The Chamber of Electrical Engineers Publishing, 9753956967, İstanbul, 2004.
  • [15] M. Yagimli, A. Yurtcu, “Development of a hybrid system with electronic switch and residual current relay,” International Journal of Advances in Engineering and Pure Sciences, vol. 32, no. 4, pp. 467-472, 2020.
  • [16] A. Yurtcu, M. Yagimli, H. Tozan, “A low-cost hybrid system of a zero-crossing switch and leakage current relay,” ICAT’20 International Conference on Advanced Technologies, 10-12 August, Istanbul, 2020.
  • [17] Ö. Eren, M. Çıkrıkçı, “Estimation of unexpected operational losses with monte carlo simulation,” Çankırı Karatekin University, Journal of the Faculty of Economics and Administrative Sciences, vol. 4, no. 2, pp. 349-361, 2014.

Mathematical Modeling of Time Response Analysis of Residual Current Devices with Electronic Switches

Year 2023, Volume: 27 Issue: 1, 113 - 119, 28.02.2023
https://doi.org/10.16984/saufenbilder.910618

Abstract

Today, relay contact and electronic residual current relays are used in order to protect human life against electrical shocks and machinery and equipment from malfunctions caused by excessive current. These residual current relays step in at 30 mA level and cut the current from the system. With the developed electronic switch and residual current device hybrid system, the human body residual current value and current cut-off response time were calculated using Monte Carlo Simulation frequency / intensity distributions. In the field of application, data sets were created in this study, which can be realized using physical and ambient data related to the human body resistance value. In this study, the reaction time of the system developed according to the amount of electric current, temperature of the human body, skin and moisture properties, shoes worn, decking, material type characteristics was modeled mathematically by using Monte Carlo simulation.

References

  • [1] C. Z. Mooney, “Monte Carlo Simulation,” SAGE Publications, no. 116, 1997.
  • [2] C. E. Papadopoulos, H. Yeung, “Uncertainty estimation and Monte Carlo simulation method,” Flow Measurement and Instrumentation, vol. 12, no. 4, pp. 291-298, 2001.
  • [3] C. Dalziel, F. Berkeley, “Types and effects of electric current,” Electrical Engineering, no. 190, pp. 72-80, 2011.
  • [4] C. Nuran, “Comparison of anti-statical footwears’ electical resistance test between under laboratory conditions and under work conditions while they are Used, Ministry of the Labor and Social Security,” Occupational Health and Safety Directorate Thesis for Occupational Health and Safety Expertise, Ankara, 2016.
  • [5] A. Çobanoğlu, G. Demirkıan, M. Güneş, “Design of a solar-assisted charging station for electric vehicles in İzmir,” European Journal of Science and Technology, no. 21, pp. 635-648, 2021.
  • [6] H. İ. Genç, M. Varan, “Implementation of visual programming methods for numerical techniques used in electromagnetic field theory,” Sakarya University Journal Of Science, vol. 4, no. 21, pp. 672-680, 2017.
  • [7] V. Periyasamy, M. Pramanik, “Advances in Monte Carlo Simulation for Light Propagation in Tissue,” IEEE Reviews in Biomedical Engineering, no. 10, pp. 122-135, 2017.
  • [8] T. Baležentis, D. Streimikiene, “Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation,” Applied Energy, no. 185, pp. 862-871, 2017.
  • [9] A. M. L. Silva, “Risk assessment in probabilistic load flow via monte carlo simulation and cross-entropy method,” IEEE Transactions on Power Systems, vol. 34, no. 2, pp. 1193-1202, 2019.
  • [10] G. Marmidis, S. Lazarou, E. Pyrgioti, “Optimal placement of wind turbines in a wind park using Monte Carlo simulation,” Renewable Energy, vol. 33, no. 7, pp. 1455-1460, 2008.
  • [11] M. Yagimli, H. Tozan, “Occupational health and safety in electric works,” Sixth edition, Beta Publisher, 76, ISBN:978-605-242-735-4, 2020.
  • [12] C. Espinoza, F. Villavicencio, O. Cuzco, J. Aguilar, “Time response laboratory analysis for residual current devices,” IEEE PES Innovative Smart Grid Technologies Conference, Latin America, ISGT Latin America, Quito, Ecuador, pp. 1-6, 2017.
  • [13] C. Andrews, “Electrical aspects of lightning strike to humans,” Fifth edition, The Lightning Flash, IEEE Press, London, pp. 548-564, 2003.
  • [14] M. Bayram, İ. Ilısu, “Security and Grounding in Electrical Facilities,” UCTEA The Chamber of Electrical Engineers Publishing, 9753956967, İstanbul, 2004.
  • [15] M. Yagimli, A. Yurtcu, “Development of a hybrid system with electronic switch and residual current relay,” International Journal of Advances in Engineering and Pure Sciences, vol. 32, no. 4, pp. 467-472, 2020.
  • [16] A. Yurtcu, M. Yagimli, H. Tozan, “A low-cost hybrid system of a zero-crossing switch and leakage current relay,” ICAT’20 International Conference on Advanced Technologies, 10-12 August, Istanbul, 2020.
  • [17] Ö. Eren, M. Çıkrıkçı, “Estimation of unexpected operational losses with monte carlo simulation,” Çankırı Karatekin University, Journal of the Faculty of Economics and Administrative Sciences, vol. 4, no. 2, pp. 349-361, 2014.
There are 17 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Research Articles
Authors

Mustafa Yağımlı 0000-0003-4113-8308

Ahmet Yurtcu 0000-0002-2234-1928

Publication Date February 28, 2023
Submission Date April 7, 2021
Acceptance Date December 5, 2022
Published in Issue Year 2023 Volume: 27 Issue: 1

Cite

APA Yağımlı, M., & Yurtcu, A. (2023). Mathematical Modeling of Time Response Analysis of Residual Current Devices with Electronic Switches. Sakarya University Journal of Science, 27(1), 113-119. https://doi.org/10.16984/saufenbilder.910618
AMA Yağımlı M, Yurtcu A. Mathematical Modeling of Time Response Analysis of Residual Current Devices with Electronic Switches. SAUJS. February 2023;27(1):113-119. doi:10.16984/saufenbilder.910618
Chicago Yağımlı, Mustafa, and Ahmet Yurtcu. “Mathematical Modeling of Time Response Analysis of Residual Current Devices With Electronic Switches”. Sakarya University Journal of Science 27, no. 1 (February 2023): 113-19. https://doi.org/10.16984/saufenbilder.910618.
EndNote Yağımlı M, Yurtcu A (February 1, 2023) Mathematical Modeling of Time Response Analysis of Residual Current Devices with Electronic Switches. Sakarya University Journal of Science 27 1 113–119.
IEEE M. Yağımlı and A. Yurtcu, “Mathematical Modeling of Time Response Analysis of Residual Current Devices with Electronic Switches”, SAUJS, vol. 27, no. 1, pp. 113–119, 2023, doi: 10.16984/saufenbilder.910618.
ISNAD Yağımlı, Mustafa - Yurtcu, Ahmet. “Mathematical Modeling of Time Response Analysis of Residual Current Devices With Electronic Switches”. Sakarya University Journal of Science 27/1 (February 2023), 113-119. https://doi.org/10.16984/saufenbilder.910618.
JAMA Yağımlı M, Yurtcu A. Mathematical Modeling of Time Response Analysis of Residual Current Devices with Electronic Switches. SAUJS. 2023;27:113–119.
MLA Yağımlı, Mustafa and Ahmet Yurtcu. “Mathematical Modeling of Time Response Analysis of Residual Current Devices With Electronic Switches”. Sakarya University Journal of Science, vol. 27, no. 1, 2023, pp. 113-9, doi:10.16984/saufenbilder.910618.
Vancouver Yağımlı M, Yurtcu A. Mathematical Modeling of Time Response Analysis of Residual Current Devices with Electronic Switches. SAUJS. 2023;27(1):113-9.