Abstract
In this paper, flashover characteristics of polluted cup-pin insulators have investigated by means of laboratory test and a mathematical model. Data from experimental works combined with the model results from a new mathematical modelling are used to derive algorithm for Artificial Neural Network (ANN) and Adaptive Neuro-fuzzy Inference System (ANFIS) for determining the critical Flashover characteristics (current and voltage). Series of laboratory testing and measurement are carried for 1:1, 1:5, 1/10 and 1:15 ratios of top to bottom surface salt deposit density on cup and pin polluted insulators (T/B). The new model was derived based on dimensional analysis approach of the parameters which commonly effect the phenomenon of pollution flashover of insulators. This model was developed by establishment the relationship between flashover current and voltage, arc constant, arc length and layer pollution conductivity of insulator. The constant of arc A and n is determined using genetic algorithm. Comparative studies have evidently shown that the proposed AI-based technique gives the satisfactory results compared to the analytical model and test data with the coefficient of determination R-Square value more than 96%.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Salem, A.A., Abd-rahman, R.: A review of the dynamic modelling of pollution flashover on high voltage outdoor insulators. J. Phys. Conf. Ser. 1049 (2018)
Ahmad, H., Abd-Rahman, R., Ahmad, M.H.: Evaluation of transmission line insulator for I-Type string insulator design. In: PECON 2016 – 2016 IEEE 6th International Conference on Power and Energy, pp. 50–53 (2017)
Salem, A.A., et al.: Proposal of a dynamic numerical approach in predicting flashover critical voltage, vol. 10, no. 1, pp. 51–58 (2019)
Salem, A.A., et al.: The effect of insulator geometrical profile on electric field distributions, vol. 14, no. 2, pp. 618–627 (2019)
Salem, A.A., Rahman, R.A., Kamarudin, M.S., Othman, N. A.: Factors and models of pollution flashover on high voltage outdoor insulators: review. In: 2017 IEEE Conference on Energy Conversion (CENCON), pp. 241–246 (2017)
IEC Std. 60507: Artificial pollution tests on high-voltage insulators to be used on AC systems (1991)
Dixit, P., Krishnan, V., Nagabhushana, G.R.: Studies on pollution performance of ceramic insulators under AC excitation. In: Proceedings of 16th International Symposium on High voltage Engineering (ISH 2009), 28th August 2009, Cape town, South Africa, paper NoE-35, pp. 1331–1336 (2009)
Wilkins, R.: Flashover voltage of high voltage insulator with uniform surface pollution films. Proc IEE 116(3), 457–465 (1969)
Suresh, A.G., Dixit, P.: ANN model to predict critical flashover voltages of polluted porcelain disc insulators, vol. 12, no. 11, pp. 2942–2951 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Salem, A.A., Abd-Rahman, R., Al-Gailani, S.A., Kamarudin, M.S., Othman, N.A., Jamail, N.A.M. (2020). Artificial Intelligence Techniques for Predicting the Flashover Voltage on Polluted Cup-Pin Insulators. In: Saeed, F., Mohammed, F., Gazem, N. (eds) Emerging Trends in Intelligent Computing and Informatics. IRICT 2019. Advances in Intelligent Systems and Computing, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-33582-3_35
Download citation
DOI: https://doi.org/10.1007/978-3-030-33582-3_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33581-6
Online ISBN: 978-3-030-33582-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)