Mathematical modeling of polymer dielectric strength considering filling concentration
-
Mohamed Mokhtar
Abstract
Enhancement of Dielectric strength is an important issue to enhance power system reliability. Insulation filling such as Alumina Trihydrate (ATH) and Silicon dioxide (Sio2) are used to enhance the dielectric strength of polymer insulator. The paper proposes a mathematical model of dielectric strength considering different temperatures and filling percentages using neural network. Moreover, comparison of filling materials is carried out through this model. The comparison shows the superiority of ATH in enhancing the dielectric strength of the polymer. Also, the obtained model will help in getting the best filling concentration without needing to repeat the tests which can be considered as a techno-economical solution to enhance the dielectric strength. Finally, the curve fitting is used to get the dielectric strength model not only as a function of filling concentration percentage but also as a function of temperature.
-
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
-
Research funding: None declared.
-
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Ersoy, A, Özcelep, Y, Kuntman, A. A study on the reliability of polyester insulators blended with borax. Turk J Electr Eng Comput Sci 2008;16:257–66.Search in Google Scholar
2. Nasrat, LS, Hamed, AF, Hamid, MA, Mansour, SH. Study the flashover voltage for outdoor polymer insulators under desert climatic conditions. Egypt J Pet 2013;22:1–8. https://doi.org/10.1016/j.ejpe.2012.11.011.Search in Google Scholar
3. Pleşa, I, Noţingher, PV, Schlögl, S, Sumereder, C, Muhr, M. Properties of polymer composites used in high-voltage applications. Polymers 2016;8:173.10.3390/polym8050173Search in Google Scholar PubMed PubMed Central
4. Othman, E-SA, Nasrat, LS, Saleh, AAZ. Study of nano filler effect on electrical behavior of polymer insulating materials using artificial intelligence. Int J Adv Res Electr Electron Instrum Eng 2017;6:6070–80.Search in Google Scholar
5. Ghamry, N, Nasrat, LS. Fuzzy logic approach for the prediction of the lifetime of epoxy insulators. In: 12th International conference on fuzzy systems and knowledge discovery (FSKD). Zhangjiajie, China: IEEE; 2015.10.1109/FSKD.2015.7381980Search in Google Scholar
6. Othman, E-SA, Nasrat, LS, Saleh, AAZ. A Weibull method for investigating flashover voltage of outdoor polymer insulators. Int J Innovat Res Electr Electron Instrum Contr Eng 2017;5:119–27. https://doi.org/10.17148/ijireeice.2017.5222.Search in Google Scholar
7. Ding, HZ, Varlow, BR. Effect of nano-fillers on electrical treeing in epoxy resin subjected to AC voltage. In: The 17th annual meeting of the IEEE lasers and electro-optics society, LEOS. Boulder, CO, USA: IEEE; 2004.Search in Google Scholar
8. Wang, Q, Chen, G. Effect of nano fillers on the dielectric properties of epoxy nanocomposites. Adv Mater Res, An Int J 2012;1:93–107. https://doi.org/10.12989/amr.2012.1.1.093.Search in Google Scholar
9. Nasrat, LS, Omar, OAM, Attia, MA. Experimental and numerical investigation of alumina trihydrate effect for improvement of polymer flashover voltage strength. Eng Sci Technol, An Int J JESTCH 2020;23:316–24. https://doi.org/10.1016/j.jestch.2019.06.002.Search in Google Scholar
10. Ueta, G, Tsuboi, T, Okabe, S. Evaluation of overshoot rate of lightning impulse withstand voltage test waveform based on new base curve fitting methods-application to practical diverse waveforms. IEEE Trans Dielectr Electr Insul 2012;19:352–62. https://doi.org/10.1109/tdei.2012.6148538.Search in Google Scholar
11. Pattanadech, N, Yutthagowith, P. Fast curve fitting algorithm for parameter evaluation in lightning impulse test technique. IEEE Trans Dielectr Electr Insul 2015;22:2931–6. https://doi.org/10.1109/tdei.2015.005165.Search in Google Scholar
12. Chapra, SC, Canale, RP. Numerical methods for engineers, 6th ed. Europe, Middle East & Asia (EMEA): McGraw-Hill; 2009.Search in Google Scholar
13. Sli, E, Mayers, DF. An introduction to numerical analysis. Shaftesbury Road, Cambridge, UK: Cambridge University Press; 2012.Search in Google Scholar
14. Philip, GG. Numerical methods of curve fitting. Shaftesbury Road, Cambridge, UK: Cambridge University Press; 2012.Search in Google Scholar
15. Wang, F, Zhang, K. The theoretical analysis and algorithm on a class of optimal curve fitting problems. Appl Math Comput 2006;183:622–33. https://doi.org/10.1016/j.amc.2006.05.114.Search in Google Scholar
16. Omar, OA, Badra, NM, Mahmoud, AA. Proper selection of doubly fed induction generator wind turbine using several optimization techniques. In: IEEE conference on power electronics and renewable energy (CPERE). Aswan City, Egypt: IEEE; 2019.10.1109/CPERE45374.2019.8980062Search in Google Scholar
© 2021 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Solving realistic reactive power market clearing problem of wind-thermal power system with system security
- A novel methodology for power loss allocation of both passive and active power distribution systems
- A simple network reduction technique for large autonomous microgrids incorporating an efficient reactive power sharing
- An adaptive, observer-based switching method for B4 inverters feeding three-phase induction motors
- Analysis and evaluation of two short-term load forecasting techniques
- Power quality improvement in a photovoltaic based microgrid integrated network using multilevel inverter
- Comparison between flexible AC transmission systems (FACTs) and filters regarding renewable energy systems harmonics mitigation
- Evaluating the impact of Khanh Son power plant on Danang Distribution Network
- Fast valving automation setting using HRTSim
- Mathematical modeling of polymer dielectric strength considering filling concentration
- Special action on high quality development of renewable energy in Northeast China: market implementation initiatives and suggestions
- Coordinated power management and control of renewable energy sources based smart grid
Articles in the same Issue
- Frontmatter
- Research Articles
- Solving realistic reactive power market clearing problem of wind-thermal power system with system security
- A novel methodology for power loss allocation of both passive and active power distribution systems
- A simple network reduction technique for large autonomous microgrids incorporating an efficient reactive power sharing
- An adaptive, observer-based switching method for B4 inverters feeding three-phase induction motors
- Analysis and evaluation of two short-term load forecasting techniques
- Power quality improvement in a photovoltaic based microgrid integrated network using multilevel inverter
- Comparison between flexible AC transmission systems (FACTs) and filters regarding renewable energy systems harmonics mitigation
- Evaluating the impact of Khanh Son power plant on Danang Distribution Network
- Fast valving automation setting using HRTSim
- Mathematical modeling of polymer dielectric strength considering filling concentration
- Special action on high quality development of renewable energy in Northeast China: market implementation initiatives and suggestions
- Coordinated power management and control of renewable energy sources based smart grid
